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Molecular Informatics|August 6, 2016
Comparative Analysis of QSAR-based vs. Chemical Similarity Based Predictors of GPCRs Binding AffinityMan Luo, Xiang S Wang, Alexander Tropsha
Journal of Medicinal Chemistry|November 11, 2005
Application of validated QSAR models of D1 dopaminergic antagonists for database miningScott Oloff, Richard B Mailman, Alexander Tropsha
Proteins|March 29, 2001
Lattice protein folding with two and four-body statistical potentialsH H Gan, A Tropsha, T Schlick
Arxiv|April 1, 2024
An Improved Metric and Benchmark for Assessing the Performance of Virtual Screening ModelsMichael Brocidiacono, Konstantin I Popov, Alexander Tropsha
Journal of Chemical Information and Computer Sciences|March 23, 2004
Combinatorial QSAR of ambergris fragrance compoundsAssia Kovatcheva, Alexander Golbraikh, Scott Oloff, et al.
Journal of Molecular Recognition : JMR|June 1, 1992
Making sense from antisense: a review of experimental data and developing ideas on sense--antisense peptide recognitionA Tropsha, J S Kizer, I M Chaiken
Journal of Chemical Information and Modeling|January 4, 2021
OpenChem: A Deep Learning Toolkit for Computational Chemistry and Drug DesignMaria Korshunova, Boris Ginsburg, Alexander Tropsha, et al.
Journal of Controlled Release : Official Journal of the Controlled Release Society|November 5, 2013
Computer-aided design of liposomal drugs: In silico prediction and experimental validation of drug candidates for liposomal remote loadingAhuva Cern, Yechezkel Barenholz, Alexander Tropsha, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 21, 1995
Thermodynamic parameters for the helix-coil transition of oligopeptides: molecular dynamics simulation with the peptide growth methodL Wang, T O'Connell, A Tropsha, et al.
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