Rapid determination of RMSDs corresponding to macromolecular rigid body motions. - Petr Popov; Sergei Grudinin (J. Comput. Chem., 2014)

Knowledge of Native Protein-Protein Interfaces Is Sufficient To Construct Predictive Models for the Selection of Binding Candidates. - Petr Popov; Sergei Grudinin (J. Chem. Inf. Model., 2015)

Nouvelles méthodes de calcul pour la prédiction des interactions protéine-protéine au niveau structural. (Novel computational methods to predict protein-protein interactions on the structural level). - Petr Popov (2015)

PEPSI-Dock: a detailed data-driven protein-protein interaction potential accelerated by polar Fourier correlation. - Émilie Neveu; David W. Ritchie; Petr Popov; Sergei Grudinin (Bioinform., 2016)

Predicting Binding Poses and Affinities in the CSAR 2013-2014 Docking Exercises Using the Knowledge-Based Convex-PL Potential. - Sergei Grudinin; Petr Popov; Émilie Neveu; Georgy Cheremovskiy (J. Chem. Inf. Model., 2016)

RapidRMSD: rapid determination of RMSDs corresponding to motions of flexible molecules. - Émilie Neveu; Petr Popov; Alexandre Hoffmann; Angelo Migliosi; Xavier Besseron; Grégoire Danoy; Pascal Bouvry; Sergei Grudinin (Bioinform., 2018)

Controlled-advancement rigid-body optimization of nanosystems. - Petr Popov; Sergei Grudinin; Andrii Kurdiuk; Pavel Buslaev; Stephane Redon (J. Comput. Chem., 2019)

Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteins. - Jan Zaucha; Michael Heinzinger; A. Kulandaisamy; Evans Kataka; Óscar Llorian Salvádor; Petr Popov; Burkhard Rost; M. Michael Gromiha; Boris S. Zhorov; Dmitrij Frishman (Briefings Bioinform., 2021)

Protein-Peptide Binding Site Detection Using 3D Convolutional Neural Networks. - Igor Kozlovskii; Petr Popov (J. Chem. Inf. Model., 2021)

Equidistant and Uniform Data Augmentation for 3D Objects. - Alexander Morozov; Davide Zgyatti; Petr Popov (IEEE Access, 2022)

Unraveling viral drug targets: a deep learning-based approach for the identification of potential binding sites. - Petr Popov; Roman Kalinin; Pavel Buslaev; Igor Kozlovskii; Mark Zaretckii; Dmitry Karlov; Alexander Gabibov; Alexey Stepanov (Briefings Bioinform., 2024)

graphLambda: Fusion Graph Neural Networks for Binding Affinity Prediction. - Ghaith Mqawass; Petr Popov (J. Chem. Inf. Model., 2024)