Petr Popov

According to our database, Petr Popov authored at least 11 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

graphLambda: Fusion Graph Neural Networks for Binding Affinity Prediction.

Ghaith Mqawass, Petr Popov

J. Chem. Inf. Model., 2024

2022

Equidistant and Uniform Data Augmentation for 3D Objects.

Alexander Morozov, Davide Zgyatti, Petr Popov

IEEE Access, 2022

2021

Protein-Peptide Binding Site Detection Using 3D Convolutional Neural Networks.

Igor Kozlovskii, Petr Popov

J. Chem. Inf. Model., 2021

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

2019

Controlled-advancement rigid-body optimization of nanosystems.

Petr Popov, Sergei Grudinin, Andrii Kurdiuk, Pavel Buslaev, Stephane Redon

J. Comput. Chem., 2019

2018

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

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

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

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

PhD thesis, 2015

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

2014

Rapid determination of RMSDs corresponding to macromolecular rigid body motions.

Petr Popov, Sergei Grudinin

J. Comput. Chem., 2014