Toropov AA, Toropova AP, Roncaglioni A, Benfenati E. Prediction of Biochemical Endpoints by the CORAL Software: Prejudices, Paradoxes, and Results.
Methods Mol Biol 2018;
1800:573-583. [PMID:
29934912 DOI:
10.1007/978-1-4939-7899-1_27]
[Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Quantitative structure-activity relationships (QSARs) for prediction of toxicological endpoints built up with the CORAL software are discussed. Prejudices related to these QSAR models are listed. Possible ways to improve the software are discussed.
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