MUV_733
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下载链接：
https://modelscope.cn/datasets/jablonkagroup/MUV_733
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资源简介：
## Dataset Details
### Dataset Description
Activity in the MUV_733 assay
- **Curated by:**
- **License:** CC BY 4.0
### Dataset Sources
- [corresponding publication](https://academic.oup.com/nar/article/44/D1/D1075/2502602?login=false)
- [Data source](https://deepchemdata.s3-us-west-1.amazonaws.com/datasets/muv.csv.gz)
## Citation
**BibTeX:**
```bibtex
@article{doi:10.1021/ci8002649,
author = {Rohrer, Sebastian G. and Baumann, Knut},
title = {Maximum Unbiased Validation (MUV) Data Sets for Virtual Screening Based on PubChem Bioactivity Data},
journal = {Journal of Chemical Information and Modeling},
volume = {49},
number = {2},
pages = {169-184},
year = {2009},
doi = {10.1021/ci8002649},
URL = {https://doi.org/10.1021/ci8002649}}
```
## 数据集详情
### 数据集描述
MUV_733活性检测实验中的生物活性
- **数据整理者：**
- **许可协议：** 知识共享署名4.0（CC BY 4.0）
### 数据集来源
- [相关研究论文](https://academic.oup.com/nar/article/44/D1/D1075/2502602?login=false)
- [数据来源](https://deepchemdata.s3-us-west-1.amazonaws.com/datasets/muv.csv.gz)
## 引用信息
### BibTeX格式引用：
bibtex
@article{doi:10.1021/ci8002649,
author = {Rohrer, Sebastian G. and Baumann, Knut},
title = {基于PubChem生物活性数据的虚拟筛选最大无偏验证（Maximum Unbiased Validation，MUV）数据集},
journal = {Journal of Chemical Information and Modeling},
volume = {49},
number = {2},
pages = {169-184},
year = {2009},
doi = {10.1021/ci8002649},
URL = {https://doi.org/10.1021/ci8002649}}
提供机构：
maas
创建时间：
2025-05-28
