ChemX
Collection
A Collection of Chemistry Datasets for Benchmarking Automated Information Extraction. More info at https://github.com/ai-chem/ChemX • 10 items • Updated
pdf string | smiles string | doi string | title string | publisher string | year int64 | access int64 | compound_id string | target_type string | target_relation string | target_value string | target_units string | bacteria string | bacteria_name_unified string | bacteria_info string | page_bacteria int64 | origin_bacteria string | section_bacteria string | subsection_bacteria string | page_target int64 | origin_target string | section_target string | subsection_target float64 | column_prop string | line_prop float64 | page_scaffold int64 | origin_scaffold string | section_scaffold string | subsection_scaffold float64 | page_residue float64 | origin_residue string | section_residue string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cccc3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 1 | pMIC | '=' | 5,52 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 3 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 3 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(C=O)c3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 2 | pMIC | '=' | 6,16 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 3 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 3 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(C=NO)c3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 3 | pMIC | '=' | 5,76 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 3 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 3 | table 1 | null |
08927020601188528 | CON=Cc1ccn(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)c1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 4 | pMIC | '=' | 5,59 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 3 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 3 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(C#N)c3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 5 | pMIC | '=' | 5,86 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 3 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 3 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(CO)c3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 6 | pMIC | '=' | 5,56 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 3 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 3 | table 1 | null |
08927020601188528 | COC(=O)c1ccn(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)c1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 7 | pMIC | '=' | 5,29 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 3 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 3 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(C(N)=O)c3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 8 | pMIC | '=' | 4,37 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 3 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 3 | table 1 | null |
08927020601188528 | CCOC(=O)C=Cc1ccn(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)c1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 9 | pMIC | '=' | 5,03 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 3 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 3 | table 1 | null |
08927020601188528 | CCOC(=O)CCc1ccn(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)c1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 10 | pMIC | '=' | 5,04 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 3 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 3 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(CCCO)c3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 11 | pMIC | '=' | 4,99 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 3 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 3 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(CCCNS(C)(=O)=O)c3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 12 | pMIC | '=' | 4,77 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 3 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 3 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(C(C)=O)c3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 13 | pMIC | '=' | 5,27 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 3 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 3 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(C(C)O)c3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 14 | pMIC | '=' | 4,37 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 3 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 3 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(C(C)=NO)c3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 15 | pMIC | '=' | 5,29 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 3 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 3 | table 1 | null |
08927020601188528 | CON=C(C)c1ccn(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)c1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 16 | pMIC | '=' | 5,01 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 4 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 4 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cccn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 17 | pMIC | '=' | 5,22 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 4 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 4 | table 1 | null |
08927020601188528 | CCOC(=O)c1cnn(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)c1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 18 | pMIC | '=' | 5,01 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 4 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 4 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cc(C(N)=O)cn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 19 | pMIC | '=' | 4,37 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 4 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 4 | table 1 | null |
08927020601188528 | CNC(=O)c1cnn(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)c1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 20 | pMIC | '=' | 4,39 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 4 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 4 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cc(C#N)cn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 21 | pMIC | '=' | 5,86 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 4 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 4 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cc(I)cn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 22 | pMIC | '=' | 5,36 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 4 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 4 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cc(NC(=O)OC(C)(C)C)cn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 23 | pMIC | '=' | 4,75 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 4 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 4 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cc(NC(C)=O)cn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 24 | pMIC | '=' | 4,41 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 4 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 4 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cc(C#C[Si](C)(C)C)cn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 25 | pMIC | '=' | 5,03 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 4 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 4 | table 1 | null |
08927020601188528 | C#Cc1cnn(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)c1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 26 | pMIC | '=' | 5,25 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 4 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 4 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(C(F)(F)F)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 27 | pMIC | '=' | 5 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 4 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 4 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(NC(=O)OC(C)(C)C)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 28 | pMIC | '=' | 5,05 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 4 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 4 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(N)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 29 | pMIC | '=' | 5,24 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 4 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 4 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(NC(=O)CO)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 30 | pMIC | '=' | 4,41 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 5 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 5 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(NC(C)=O)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 31 | pMIC | '=' | 4,71 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 5 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 5 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(NS(C)(=O)=O)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 32 | pMIC | '=' | 4,43 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 5 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 5 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(C#N)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 33 | pMIC | '=' | 5,56 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 5 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 5 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(C)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 34 | pMIC | '=' | 4,94 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 5 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 5 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(=O)[nH]3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 35 | pMIC | '=' | 4,64 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 5 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 5 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccc(OC(C)=O)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 36 | pMIC | '=' | 4,71 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 5 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 5 | table 1 | null |
08927020601188528 | COc1ccn(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)n1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 37 | pMIC | '=' | 4,96 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 5 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 5 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccnc3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 38 | pMIC | '=' | 5,22 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 5 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 5 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cnc(C#N)c3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 39 | pMIC | '=' | 4,95 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 5 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 5 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ccnn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 40 | pMIC | '=' | 5,53 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 5 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 5 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cc(C(C)=O)nn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 41 | pMIC | '=' | 5,58 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 5 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 5 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cc(C(C)=NO)nn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 42 | pMIC | '=' | 4,99 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 5 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 5 | table 1 | null |
08927020601188528 | COC(=O)c1cn(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)nn1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 43 | pMIC | '=' | 4,99 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 5 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 5 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cc(C#N)nn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 44 | pMIC | '=' | 5,56 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 5 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 5 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cc(C=O)nn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 45 | pMIC | '=' | 5,86 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 6 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 6 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cc(C(N)=O)nn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 46 | pMIC | '=' | 4,98 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 6 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 6 | table 1 | null |
08927020601188528 | CNC(=O)c1cn(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)nn1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 47 | pMIC | '=' | 4,69 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 6 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 6 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cc(CO)nn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 48 | pMIC | '=' | 4,96 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 6 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 6 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cc(C=NO)nn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 49 | pMIC | '=' | 4,68 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 6 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 6 | table 1 | null |
08927020601188528 | CON=Cc1cn(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)nn1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 50 | pMIC | '=' | 4,99 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 6 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 6 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3nccn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 51 | pMIC | '=' | 4,92 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 6 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 6 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ncc(C#N)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 52 | pMIC | '=' | 5,86 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 6 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 6 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cncn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 53 | pMIC | '=' | 4,92 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 6 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 6 | table 1 | null |
08927020601188528 | COC(=O)c1ncn(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)n1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 54 | pMIC | '=' | 4,39 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 6 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 6 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cnc(CO)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 55 | pMIC | '=' | 4,36 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 6 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 6 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cnc(C=O)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 56 | pMIC | '=' | 4,96 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 6 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 6 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cnc(C(N)=O)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 57 | pMIC | '=' | 4,37 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 6 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 6 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cnc(C#N)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 58 | pMIC | '=' | 4,96 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 6 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 6 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cnc(C)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 59 | pMIC | '=' | 4,64 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 7 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 7 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cnc(NC(=O)Cc4ccccc4)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 60 | pMIC | '=' | 4,47 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 7 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 7 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cnc(N)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 61 | pMIC | '=' | 4,64 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 7 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 7 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cnc(Cl)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 62 | pMIC | '=' | 4,97 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 7 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 7 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cnnc3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 63 | pMIC | '=' | 4,32 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 7 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 7 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3ncnn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 64 | pMIC | '=' | 5,23 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 7 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 7 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3nnc(C=O)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 65 | pMIC | '=' | 4,66 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 7 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 7 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3nnc(C=NO)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 66 | pMIC | '=' | 4,98 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 7 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 7 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3nnc(C#N)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 67 | pMIC | '=' | 5,26 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 7 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 7 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-n3cnnn3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 68 | pMIC | '=' | 4,93 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 7 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 7 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3nncs3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 69 | pMIC | '=' | 5,53 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 7 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 7 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3n[nH]c(=O)s3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 70 | pMIC | '=' | 5,55 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 7 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 7 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3nnc(C)s3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 71 | pMIC | '=' | 5,55 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 7 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 7 | table 1 | null |
08927020601188528 | CCc1nnc(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)s1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 72 | pMIC | '=' | 5,56 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 7 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 7 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3nnc(CF)s3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 73 | pMIC | '=' | 5,57 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 8 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 8 | table 1 | null |
08927020601188528 | COCc1nnc(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)s1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 74 | pMIC | '=' | 5,28 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 8 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 8 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3nnc(COC(C)=O)s3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 75 | pMIC | '=' | 5,63 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 8 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 8 | table 1 | null |
08927020601188528 | CCOC(=O)c1nnc(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)s1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 76 | pMIC | '=' | 4,71 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 8 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 8 | table 1 | null |
08927020601188528 | CC(=O)CCc1nnc(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)s1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 77 | pMIC | '=' | 5,61 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 8 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 8 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3nnc(CC#N)s3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 78 | pMIC | '=' | 5,27 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 8 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 8 | table 1 | null |
08927020601188528 | CSCc1nnc(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)s1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 79 | pMIC | '=' | 5,6 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 8 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 8 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3nnc(CO)s3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 80 | pMIC | '=' | 5,56 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 8 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 8 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3nnc(C(N)=O)s3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 81 | pMIC | '=' | 5,88 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 8 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 8 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3nnc(CC(N)=O)s3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 82 | pMIC | '=' | 4,99 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 8 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 8 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3nnc(CCC(C)=NO)s3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 83 | pMIC | '=' | 5,32 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 8 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 8 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3nnc(CS(C)=O)s3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 84 | pMIC | '=' | 4,71 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 8 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 8 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3nnc(CS(C)(=O)=O)s3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 85 | pMIC | '=' | 5,03 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 8 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 8 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3nnc(CN)s3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 86 | pMIC | '=' | 4,66 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 8 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 8 | table 1 | null |
08927020601188528 | CNCc1nnc(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)s1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 87 | pMIC | '=' | 4,98 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 9 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 9 | table 1 | null |
08927020601188528 | CC(=S)NC[C@H]1CN(c2ccc(-c3nnc(CS(C)(=O)=O)s3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 89 | pMIC | '=' | 6,25 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 9 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 9 | table 1 | null |
08927020601188528 | CC(=S)NC[C@H]1CN(c2ccc(-c3nnc(CN)s3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 90 | pMIC | '=' | 5,88 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 9 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 9 | table 1 | null |
08927020601188528 | CNCc1nnc(-c2ccc(N3C[C@H](CNC(C)=S)OC3=O)cc2F)s1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 91 | pMIC | '=' | 5,9 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 9 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 9 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3ccn[nH]3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 92 | pMIC | '=' | 4,9 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 9 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 9 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3ccnn3C)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 93 | pMIC | '=' | 5,52 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 9 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 9 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3ccnn3CCO)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 94 | pMIC | '=' | 4,36 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 9 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 9 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3ccnn3CCC#N)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 95 | pMIC | '=' | 4,37 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 9 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 9 | table 1 | null |
08927020601188528 | C=CCn1nccc1-c1ccc(N2C[C@H](CNC(C)=O)OC2=O)cc1F | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 96 | pMIC | '=' | 4,65 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 9 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 9 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3ccn(C)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 97 | pMIC | '=' | 4,62 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 9 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 9 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3ccn(CCO)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 98 | pMIC | '=' | 4,36 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 9 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 9 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3ccn(CCC#N)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 99 | pMIC | '=' | 4,97 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | Materials and methods | Data set and descriptor calculation | 9 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 9 | table 1 | null |
08927020601188528 | C=CCn1ccc(-c2ccc(N3C[C@H](CNC(C)=O)OC3=O)cc2F)n1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 100 | pMIC | '=' | 4,65 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | 2. Materials and methods | 2.1 Data set and descriptor calculation | 9 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 9 | table 1 | null |
08927020601188528 | CC(=O)NC[C@H]1CN(c2ccc(-c3ccn(CC#N)n3)c(F)c2)C(=O)O1 | 10.1080/08927020601188528 | QSAR study of oxazolidinone antibacterial agents using artificial neural networks | Informa UK Limited | 2,007 | 0 | 101 | pMIC | '=' | 5,25 | mol/l | methicillin-susceptible S. aureus | Staphylococcus aureus | Methicillin susceptible | 2 | text | 2. Materials and methods | 2.1 Data set and descriptor calculation | 10 | table 1 | null | null | null | null | 2 | figure 1 | null | null | 10 | table 1 | null |
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Information about the dataset is detailed in the documentation:
https://ai-chem.github.io/ChemX/overview/datasets_description.html
You can find the Croissant file in our GitHub repository:
https://github.com/ai-chem/ChemX/tree/main/datasets/croissants
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