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Improvement of quantitative structure-activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge Project.
Honma M, Kitazawa A, Cayley A, Williams RV, Barber C, Hanser T, Saiakhov R, Chakravarti S, Myatt GJ, Cross KP, Benfenati E, Raitano G, Mekenyan O, Petkov P, Bossa C, Benigni R, Battistelli CL, Giuliani A, Tcheremenskaia O, DeMeo C, Norinder U, Koga H, Jose C, Jeliazkova N, Kochev N, Paskaleva V, Yang C, Daga PR, Clark RD, Rathman J. Honma M, et al. Among authors: chakravarti s. Mutagenesis. 2019 Mar 6;34(1):3-16. doi: 10.1093/mutage/gey031. Mutagenesis. 2019. PMID: 30357358 Free PMC article.
MultiCASE Platform for In Silico Toxicology.
Chakravarti SK, Saiakhov RD. Chakravarti SK, et al. Methods Mol Biol. 2022;2425:497-518. doi: 10.1007/978-1-0716-1960-5_19. Methods Mol Biol. 2022. PMID: 35188644
Development of QSAR models to predict blood-brain barrier permeability.
Faramarzi S, Kim MT, Volpe DA, Cross KP, Chakravarti S, Stavitskaya L. Faramarzi S, et al. Among authors: chakravarti s. Front Pharmacol. 2022 Oct 20;13:1040838. doi: 10.3389/fphar.2022.1040838. eCollection 2022. Front Pharmacol. 2022. PMID: 36339562 Free PMC article.
289 results