The application of chemical similarity measures in an unconventional modeling framework c-RASAR along with dimensionality reduction techniques to a representative hepatotoxicity dataset
Author:
Funder
Life Sciences Research Board
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-71892-4.pdf
Reference54 articles.
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2. Zhu, X. & Kruhlak, N. L. Construction and analysis of a human hepatotoxicity database suitable for QSAR modeling using post-market safety data. Toxicology 321, 62–72 (2014).
3. Huang, S. H., Tung, C.-W., Fülöp, F. & Li, J.-H. Developing a QSAR model for hepatotoxicity screening of the active compounds in traditional Chinese medicines. Food Chem. Toxicol. 78, 71–77 (2015).
4. Zhou, Y. et al. Mechanism of drug-induced liver injury and hepatoprotective effects of natural drugs. Chin. Med. 16, 135 (2021).
5. Toropova, A. P., Toropov, A. A., Roncaglioni, A. & Benfenati, E. The system of self-consistent models: QSAR analysis of drug-induced liver toxicity. Toxics 11, 419 (2023).
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