five

ld50_catmos

收藏
魔搭社区2025-07-03 更新2025-05-31 收录
下载链接:
https://modelscope.cn/datasets/jablonkagroup/ld50_catmos
下载链接
链接失效反馈
官方服务:
资源简介:
## Dataset Details ### Dataset Description Acute toxicity LD50 measures the most conservative dose that can lead to lethal adverse effects. The higher the dose, the more lethal of a drug. We aggregated the data from multiple SMILES by computing the mean. - **Curated by:** - **License:** CC BY 4.0 ### Dataset Sources - [corresponding publication](https://ehp.niehs.nih.gov/doi/full/10.1289/EHP8495#supplementary-materials) ## Citation **BibTeX:** ```bibtex @article{Mansouri_2021, title={CATMoS: Collaborative Acute Toxicity Modeling Suite}, volume={129}, ISSN={1552-9924}, url={http://dx.doi.org/10.1289/EHP8495}, DOI={10.1289/ehp8495}, number={4}, journal={Environmental Health Perspectives}, publisher={Environmental Health Perspectives}, author={Mansouri, Kamel and Karmaus, Agnes L. and Fitzpatrick, Jeremy and Patlewicz, Grace and Pradeep, Prachi and Alberga, Domenico and Alepee, Nathalie and Allen, Timothy E.H. and Allen, Dave and Alves, Vinicius M. and Andrade, Carolina H. and Auernhammer, Tyler R. and Ballabio, Davide and Bell, Shannon and Benfenati, Emilio and Bhattacharya, Sudin and Bastos, Joyce V. and Boyd, Stephen and Brown, J.B. and Capuzzi, Stephen J. and Chushak, Yaroslav and Ciallella, Heather and Clark, Alex M. and Consonni, Viviana and Daga, Pankaj R. and Ekins, Sean and Farag, Sherif and Fedorov, Maxim and Fourches, Denis and Gadaleta, Domenico and Gao, Feng and Gearhart, Jeffery M. and Goh, Garett and Goodman, Jonathan M. and Grisoni, Francesca and Grulke, Christopher M. and Hartung, Thomas and Hirn, Matthew and Karpov, Pavel and Korotcov, Alexandru and Lavado, Giovanna J. and Lawless, Michael and Li, Xinhao and Luechtefeld, Thomas and Lunghini, Filippo and Mangiatordi, Giuseppe F. and Marcou, Gilles and Marsh, Dan and Martin, Todd and Mauri, Andrea and Muratov, Eugene N. and Myatt, Glenn J. and Nguyen, Dac-Trung and Nicolotti, Orazio and Note, Reine and Pande, Paritosh and Parks, Amanda K. and Peryea, Tyler and Polash, Ahsan H. and Rallo, Robert and Roncaglioni, Alessandra and Rowlands, Craig and Ruiz, Patricia and Russo, Daniel P. and Sayed, Ahmed and Sayre, Risa and Sheils, Timothy and Siegel, Charles and Silva, Arthur C. and Simeonov, Anton and Sosnin, Sergey and Southall, Noel and Strickland, Judy and Tang, Yun and Teppen, Brian and Tetko, Igor V. and Thomas, Dennis and Tkachenko, Valery and Todeschini, Roberto and Toma, Cosimo and Tripodi, Ignacio and Trisciuzzi, Daniela and Tropsha, Alexander and Varnek, Alexandre and Vukovic, Kristijan and Wang, Zhongyu and Wang, Liguo and Waters, Katrina M. and Wedlake, Andrew J. and Wijeyesakere, Sanjeeva J. and Wilson, Dan and Xiao, Zijun and Yang, Hongbin and Zahoranszky-Kohalmi, Gergely and Zakharov, Alexey V. and Zhang, Fagen F. and Zhang, Zhen and Zhao, Tongan and Zhu, Hao and Zorn, Kimberley M. and Casey, Warren and Kleinstreuer, Nicole C.}, year={2021}, month=apr } ```

## 数据集详情 ### 数据集描述 急性毒性半数致死剂量(LD50)指可引发致命不良效应的保守阈值剂量。药物剂量越高,其致死性越强。本数据集通过计算均值的方式,整合了多条简化分子线性输入规范(SMILES)格式的分子数据。 - **数据整理者:** - **许可协议:** CC BY 4.0 ### 数据集来源 - [相关文献](https://ehp.niehs.nih.gov/doi/full/10.1289/EHP8495#supplementary-materials) ## 引用说明 ### BibTeX格式引用: bibtex @article{Mansouri_2021, title={CATMoS: 协作式急性毒性建模套件(Collaborative Acute Toxicity Modeling Suite)}, volume={129}, ISSN={1552-9924}, url={http://dx.doi.org/10.1289/EHP8495}, DOI={10.1289/ehp8495}, number={4}, journal={《环境健康展望》}, publisher={《环境健康展望》}, author={Mansouri, Kamel and Karmaus, Agnes L. and Fitzpatrick, Jeremy and Patlewicz, Grace and Pradeep, Prachi and Alberga, Domenico and Alepee, Nathalie and Allen, Timothy E.H. and Allen, Dave and Alves, Vinicius M. and Andrade, Carolina H. and Auernhammer, Tyler R. and Ballabio, Davide and Bell, Shannon and Benfenati, Emilio and Bhattacharya, Sudin and Bastos, Joyce V. and Boyd, Stephen and Brown, J.B. and Capuzzi, Stephen J. and Chushak, Yaroslav and Ciallella, Heather and Clark, Alex M. and Consonni, Viviana and Daga, Pankaj R. and Ekins, Sean and Farag, Sherif and Fedorov, Maxim and Fourches, Denis and Gadaleta, Domenico and Gao, Feng and Gearhart, Jeffery M. and Goh, Garett and Goodman, Jonathan M. and Grisoni, Francesca and Grulke, Christopher M. and Hartung, Thomas and Hirn, Matthew and Karpov, Pavel and Korotcov, Alexandru and Lavado, Giovanna J. and Lawless, Michael and Li, Xinhao and Luechtefeld, Thomas and Lunghini, Filippo and Mangiatordi, Giuseppe F. and Marcou, Gilles and Marsh, Dan and Martin, Todd and Mauri, Andrea and Muratov, Eugene N. and Myatt, Glenn J. and Nguyen, Dac-Trung and Nicolotti, Orazio and Note, Reine and Pande, Paritosh and Parks, Amanda K. and Peryea, Tyler and Polash, Ahsan H. and Rallo, Robert and Roncaglioni, Alessandra and Rowlands, Craig and Ruiz, Patricia and Russo, Daniel P. and Sayed, Ahmed and Sayre, Risa and Sheils, Timothy and Siegel, Charles and Silva, Arthur C. and Simeonov, Anton and Sosnin, Sergey and Southall, Noel and Strickland, Judy and Tang, Yun and Teppen, Brian and Tetko, Igor V. and Thomas, Dennis and Tkachenko, Valery and Todeschini, Roberto and Toma, Cosimo and Tripodi, Ignacio and Trisciuzzi, Daniela and Tropsha, Alexander and Varnek, Alexandre and Vukovic, Kristijan and Wang, Zhongyu and Wang, Liguo and Waters, Katrina M. and Wedlake, Andrew J. and Wijeyesakere, Sanjeeva J. and Wilson, Dan and Xiao, Zijun and Yang, Hongbin and Zahoranszky-Kohalmi, Gergely and Zakharov, Alexey V. and Zhang, Fagen F. and Zhang, Zhen and Zhao, Tongan and Zhu, Hao and Zorn, Kimberley M. and Casey, Warren and Kleinstreuer, Nicole C.}, year={2021}, month=apr }
提供机构:
maas
创建时间:
2025-05-27
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作