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Journal of Chemical Information and Modeling|February 17, 2024
graphLambda: Fusion Graph Neural Networks for Binding Affinity PredictionGhaith Mqawass, Petr PopovJournal of Chemical Information and Modeling|September 10, 2015
Knowledge of Native Protein-Protein Interfaces Is Sufficient To Construct Predictive Models for the Selection of Binding CandidatesPetr Popov, Sergei GrudininBioinformatics (Oxford, England)|July 7, 2026
OrgNet+: towards robust protein stability prediction with convolutional neural networksAnastasia Sarycheva, Aleksandr Shumilov, Petr PopovBioinformatics (Oxford, England)|July 15, 2025
OrgNet: orientation-gnostic protein stability assessment using convolutional neural networksIlya Buyanov, Anastasia Sarycheva, Petr PopovProteins|June 19, 2013
DockTrina: docking triangular protein trimersPetr Popov, David W Ritchie, Sergei GrudininJournal of Chemical Information and Modeling|November 17, 2015
Predicting Binding Poses and Affinities in the CSAR 2013-2014 Docking Exercises Using the Knowledge-Based Convex-PL PotentialSergei Grudinin, Petr Popov, Emilie Neveu, et al.Casopis Lekaru Ceskych|July 5, 2013
[Sobering-up stations in the Czech Republic in the context of analogous models of care for acute intoxications in Europe]Viktor Mravčík, Zdeňka Burešová, Petr Popov, et al.Bioinformatics (Oxford, England)|September 3, 2016
PEPSI-Dock: a detailed data-driven protein-protein interaction potential accelerated by polar Fourier correlationEmilie Neveu, David W Ritchie, Petr Popov, et al.Journal of Computational Chemistry|June 30, 2019
Controlled-advancement rigid-body optimization of nanosystemsPetr Popov, Sergei Grudinin, Andrii Kurdiuk, et al.Plos One|July 11, 2019
Prediction of disease-associated mutations in the transmembrane regions of proteins with known 3D structurePetr Popov, Ilya Bizin, Michael Gromiha, et al.Pageof 5