期刊
BIOINFORMATICS
卷 34, 期 14, 页码 2508-2509出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bty135
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资金
- National Key Research and Development Plan [2016YFA0501700]
- National Natural Science Foundation of China [21003048, 21433004]
- Shanghai Natural Science Foundation [14ZR1411900]
- China Scholarship Council
In this work, we present eMolTox, a web server for the prediction of potential toxicity associated with a given molecule. A total of 174 toxicology-related in vitro/vivo experimental data-sets were used for model construction and Mondrian conformal prediction was used to estimate the confidence of the resulting predictions. Toxic substructure analysis is also implemented in eMolTox. eMolTox predicts and displays a wealth of information of potential molecular toxicities for safety analysis in drug development.
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