| --- |
| license: cc-by-4.0 |
| pretty_name: Therapeutic Targets & Genomic Loci |
| tags: |
| - genomics |
| - drug-targets |
| - bioinformatics |
| - ensembl |
| - ncbi |
| task_categories: |
| - feature-extraction |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| 🎯 **Dataset Summary** |
|
|
| A drug target reference database covering 2,000 biological targets with cross-database identifier mapping and drug association counts. Designed for target-centric drug discovery and multi-omics integration. |
|
|
| **🚀 Key Features** |
|
|
| - **Cross-Database IDs:** Each target links UniProt, NCBI Gene ID, Ensembl Gene ID, and RefSeq accessions (nucleotide and protein). |
| - **Multilingual Names & Aliases:** `target_name` and `alias` support both English gene symbols and Chinese nomenclature. |
| - **Drug Count:** `drug_count` provides a quick measure of target druggability based on associated compounds. |
|
|
| **💻 Quick Start & MCP Integration** |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("your-org/drug-targets", split="train") |
| record = dataset[0] |
| en_name = next(n["name"] for n in record["target_name"] if n["lang"] == "EN") |
| print(en_name) |
| # Output: 'solute carrier family 37 member 4' |
| print(record["uniprot_id"]) |
| # Output: ['O43826'] |
| print(record["drug_count"]) |
| # Output: 1 |
| ``` |
|
|
| ## 🔗 Resources |
| - **Developer Portal**: [open.patsnap.com](https://open.patsnap.com) |
| - **PatSnap Life Sciences**: [patsnap.com/solutions/life-sciences](https://www.patsnap.com/solutions/life-sciences/) |
| - **GitHub**: [github.com/patsnap](https://github.com/patsnap) |
