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Chemical Research in Toxicology|May 19, 2023
Augmenting Expert Knowledge-Based Toxicity Alerts by Statistically Mined Molecular FragmentsSuman ChakravartiChemical Research in Toxicology|June 2, 2023
Computational Prediction of Metabolic α-Carbon Hydroxylation Potential of <i>N</i>-Nitrosamines: Overcoming Data Limitations for Carcinogenicity AssessmentSuman ChakravartiMolecular Informatics|August 3, 2016
Effectiveness of CASE Ultra Expert System in Evaluating Adverse Effects of DrugsRoustem Saiakhov, Suman Chakravarti, Gilles KlopmanChemical Research in Toxicology|February 27, 2025
(Q)SAR Approaches to Predict the Extent of Nitrosation in Pharmaceutical CompoundsKrystle Reiss, Roustem Saiakhov, Suman ChakravartiChemical Research in Toxicology|November 13, 2024
Quantitative Structure-Activity Relationship Models to Predict Cardiac Adverse EffectsZhongyu Mou, Patra Volarath, Rebecca Racz, et al.Frontiers in Pharmacology|November 7, 2022
Development of QSAR models to predict blood-brain barrier permeabilitySadegh Faramarzi, Marlene T Kim, Donna A Volpe, et al.Regulatory Toxicology and Pharmacology : RTP|October 7, 2019
Transitioning to composite bacterial mutagenicity models in ICH M7 (Q)SAR analysesCurran Landry, Marlene T Kim, Naomi L Kruhlak, et al.Molecular Pharmaceutics|October 20, 2025
Machine Learning Modeling for ABC Transporter Efflux and Inhibition: Data Curation, Model Development, and New Compound Interaction PredictionsNada J Daood, Sean R Carey, Elena Chung, et al.Mutagenesis|October 26, 2018
Improvement of quantitative structure-activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge ProjectMasamitsu Honma, Airi Kitazawa, Alex Cayley, et al.Pageof 1