Petr Popov

13 papers Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
OrgNet: orientation-gnostic protein stability assessment using convolutional neural networks.
Bioinform.
Ilya Buyanov, Anastasia Sarycheva, Petr Popov
2024 J jnl
Unraveling viral drug targets: a deep learning-based approach for the identification of potential binding sites.
Briefings Bioinform.
Petr Popov, Roman Kalinin, Pavel Buslaev, Igor Kozlovskii, Mark Zaretckii, Dmitry Karlov, Alexander Gabibov, Alexey Stepanov
2024 J jnl
graphLambda: Fusion Graph Neural Networks for Binding Affinity Prediction.
J. Chem. Inf. Model.
Ghaith Mqawass, Petr Popov
2022 J jnl
Equidistant and Uniform Data Augmentation for 3D Objects.
IEEE Access
Alexander Morozov, Davide Zgyatti, Petr Popov
2021 J jnl
Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteins.
Briefings Bioinform.
Jan Zaucha, Michael Heinzinger, A. Kulandaisamy, Evans Kataka, Óscar Llorian Salvádor, Petr Popov, Burkhard Rost, M. Michael Gromiha, Boris S. Zhorov, Dmitrij Frishman
2021 J jnl
Protein-Peptide Binding Site Detection Using 3D Convolutional Neural Networks.
J. Chem. Inf. Model.
Igor Kozlovskii, Petr Popov
2019 J jnl
Controlled-advancement rigid-body optimization of nanosystems.
J. Comput. Chem.
Petr Popov, Sergei Grudinin, Andrii Kurdiuk, Pavel Buslaev, Stephane Redon
2018 J jnl
RapidRMSD: rapid determination of RMSDs corresponding to motions of flexible molecules.
Bioinform.
Émilie Neveu, Petr Popov, Alexandre Hoffmann, Angelo Migliosi, Xavier Besseron, Grégoire Danoy, Pascal Bouvry, Sergei Grudinin
2016 J jnl
PEPSI-Dock: a detailed data-driven protein-protein interaction potential accelerated by polar Fourier correlation.
Bioinform.
Émilie Neveu, David W. Ritchie, Petr Popov, Sergei Grudinin
2016 J jnl
Predicting Binding Poses and Affinities in the CSAR 2013-2014 Docking Exercises Using the Knowledge-Based Convex-PL Potential.
J. Chem. Inf. Model.
Sergei Grudinin, Petr Popov, Émilie Neveu, Georgy Cheremovskiy
2015 J jnl
Knowledge of Native Protein-Protein Interfaces Is Sufficient To Construct Predictive Models for the Selection of Binding Candidates.
J. Chem. Inf. Model.
Petr Popov, Sergei Grudinin
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
2014 J jnl
Rapid determination of RMSDs corresponding to macromolecular rigid body motions.
J. Comput. Chem.
Petr Popov, Sergei Grudinin