ames_mutagenicity
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https://modelscope.cn/datasets/jablonkagroup/ames_mutagenicity
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## Dataset Details
### Dataset Description
Mutagenicity means the ability of a drug to induce genetic alterations.
Drugs that can cause damage to the DNA can result in cell death or other severe
adverse effects. Nowadays, the most widely used assay for testing the mutagenicity
of compounds is the Ames experiment which was invented by a professor named
Ames. The Ames test is a short term bacterial reverse mutation assay detecting
a large number of compounds which can induce genetic damage and frameshift mutations.
The dataset is aggregated from four papers.
- **Curated by:**
- **License:** CC BY 4.0
### Dataset Sources
- [corresponding publication](https://doi.org/10.1021/ci300400a)
- [Data source](https://tdcommons.ai/single_pred_tasks/tox/#ames-mutagenicity)
## Citation
**BibTeX:**
```bibtex
@article{Xu2012,
doi = {10.1021/ci300400a},
url = {https://doi.org/10.1021/ci300400a},
year = {2012},
month = oct,
publisher = {American Chemical Society (ACS)},
volume = {52},
number = {11},
pages = {2840--2847},
author = {Congying Xu and Feixiong Cheng and Lei Chen and
Zheng Du and Weihua Li and Guixia Liu and Philip W. Lee and Yun Tang},
title = {In silico Prediction of Chemical Ames Mutagenicity},
journal = {Journal of Chemical Information and Modeling}
```
## 数据集详情
### 数据集描述
致突变性(Mutagenicity)指药物诱发遗传改变的能力。能够对DNA造成损伤的药物,可引发细胞死亡或其他严重不良反应。当前应用最为广泛的化合物致突变性检测实验,是由Ames教授发明的艾姆斯试验(Ames test)。艾姆斯试验是一种短期细菌回复突变检测实验,可用于检测大量能够诱发遗传损伤与移码突变的化合物。本数据集整合自四篇学术论文。
- **数据整理者:**
- **许可协议:** CC BY 4.0
### 数据集来源
- [相关研究论文](https://doi.org/10.1021/ci300400a)
- [数据集源地址](https://tdcommons.ai/single_pred_tasks/tox/#ames-mutagenicity)
## 引用
### BibTeX:
bibtex
@article{Xu2012,
doi = {10.1021/ci300400a},
url = {https://doi.org/10.1021/ci300400a},
year = {2012},
month = oct,
publisher = {American Chemical Society (ACS)},
volume = {52},
number = {11},
pages = {2840--2847},
author = {Congying Xu and Feixiong Cheng and Lei Chen and Zheng Du and Weihua Li and Guixia Liu and Philip W. Lee and Yun Tang},
title = {化学物质艾姆斯致突变性的虚拟预测},
journal = {Journal of Chemical Information and Modeling}
}
提供机构:
maas
创建时间:
2025-05-27



