---
license: cc-by-4.0
pretty_name: Global Drug Development & Classification
tags:
- pharmacology
- drug-development
- nme
- first-in-class
task_categories:
- tabular-classification
size_categories:
- 1K<n<10K
---

💊 **Dataset Summary**

A curated drug intelligence database covering 2,175 therapeutic compounds with multilingual entity resolution. Each record links a drug to its biological targets, disease indications, development status, and approval history.

**🚀 Key Features**

- **Multilingual Entities:** Drug names, aliases, targets, and disease indications are all provided in both Chinese and English.
- **Target & Indication Mapping:** Structured `target` and `disease` arrays enable drug-target-disease network construction.
- **Development Status:** `global_highest_dev_status` and `first_approved_date` track the regulatory lifecycle.
- **Drug Typing:** `drug_type` classifies modality (e.g., Fc fusion protein, Biosimilar, small molecule).

**💻 Quick Start**

```python
from datasets import load_dataset

dataset = load_dataset("your-org/drug-intelligence", split="train")
record = dataset[0]
en_name = next(n["name"] for n in record["drug_name"] if n["lang"] == "EN")
print(en_name)
# Output: 'Aflibercept Biosimilar(Zakłady Farmaceutyczne Polpharma SA)'
print(record["global_highest_dev_status"])
# Output: 'Approved'
print(record["drug_type"])
# Output: ['Fc fusion protein', 'Biosimilar']
```


## 🔗 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)