Datasets:
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README.md
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π― Dataset Summary
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π Key Features
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Precise Localization: Includes chromosomal_location, locus_type, and locus_group for spatial genomic analysis.
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## π Resources
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- **Developer Portal**: [open.patsnap.com](https://open.patsnap.com)
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π― **Dataset Summary**
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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.
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**π Key Features**
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- **Cross-Database IDs:** Each target links UniProt, NCBI Gene ID, Ensembl Gene ID, and RefSeq accessions (nucleotide and protein).
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- **Multilingual Names & Aliases:** `target_name` and `alias` support both English gene symbols and Chinese nomenclature.
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- **Drug Count:** `drug_count` provides a quick measure of target druggability based on associated compounds.
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**π» Quick Start & MCP Integration**
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```python
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from datasets import load_dataset
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dataset = load_dataset("your-org/drug-targets", split="train")
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record = dataset[0]
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en_name = next(n["name"] for n in record["target_name"] if n["lang"] == "EN")
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print(en_name)
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# Output: 'solute carrier family 37 member 4'
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print(record["uniprot_id"])
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# Output: ['O43826']
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print(record["drug_count"])
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# Output: 1
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```
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## π Resources
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- **Developer Portal**: [open.patsnap.com](https://open.patsnap.com)
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