hiv

## Dataset Details

### Dataset Description

The HIV dataset was introduced by the Drug Therapeutics Program (DTP)
AIDS Antiviral Screen, which tested the ability to inhibit HIV replication for
over 40,000 compounds.

- **Curated by:**
- **License:** CC BY 4.0

### Dataset Sources

- [data source](https://rb.gy/wphpqg)
- [corresponding publication](https://rb.gy/0xx91v)
- [data source](https://tdcommons.ai/single_pred_tasks/hts/#hiv)

## Citation

**BibTeX:**

```bibtex
@article{Wu2018,
doi = {10.1039/c7sc02664a},
url = {https://doi.org/10.1039/c7sc02664a},
year = {2018},
publisher = {Royal Society of Chemistry (RSC)},
volume = {9},
number = {2},
pages = {513--530},
author = {Zhenqin Wu and Bharath Ramsundar and Evan~N. Feinberg and Joseph Gomes
and Caleb Geniesse and Aneesh S. Pappu and Karl Leswing and Vijay Pande},
title = {MoleculeNet: a benchmark for molecular machine learning},
journal = {Chemical Science}
```

# 数据集详情
## 数据集描述
人类免疫缺陷病毒（HIV）数据集由药物治疗项目（Drug Therapeutics Program，DTP）艾滋病抗病毒筛选项目推出，该项目对四万余种化合物的HIV复制抑制活性开展了测试。
- **整理方：**
- **授权协议：** CC BY 4.0

## 数据集来源
- [数据来源](https://rb.gy/wphpqg)
- [相关研究论文](https://rb.gy/0xx91v)
- [数据来源](https://tdcommons.ai/single_pred_tasks/hts/#hiv)

## 引用
### BibTeX格式引用：
bibtex
@article{Wu2018,
doi = {10.1039/c7sc02664a},
url = {https://doi.org/10.1039/c7sc02664a},
year = {2018},
publisher = {Royal Society of Chemistry (RSC)},
volume = {9},
number = {2},
pages = {513--530},
author = {Zhenqin Wu and Bharath Ramsundar and Evan~N. Feinberg and Joseph Gomes
and Caleb Geniesse and Aneesh S. Pappu and Karl Leswing and Vijay Pande},
title = {MoleculeNet: a benchmark for molecular machine learning},
journal = {Chemical Science}
}