Petr Popov
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Crystal Structure of the Human Cannabinoid Receptor CB2
X Li, T Hua, K Vemuri, JH Ho, Y Wu, L Wu, P Popov, O Benchama, ...
Cell 176 (3), 459-467. e13, 2019
5-HT2C Receptor Structures Reveal the Structural Basis of GPCR Polypharmacology
Y Peng, JD McCorvy, K Harpsøe, K Lansu, S Yuan, P Popov, L Qu, M Pu, ...
Cell 172 (4), 719-730. e14, 2018
Prediction of homoprotein and heteroprotein complexes by protein docking and template‐based modeling: A CASP‐CAPRI experiment
MF Lensink, S Velankar, A Kryshtafovych, SY Huang, ...
Proteins: Structure, Function, and Bioinformatics 84, 323-348, 2016
Community‐wide evaluation of methods for predicting the effect of mutations on protein–protein interactions
R Moretti, SJ Fleishman, R Agius, M Torchala, PA Bates, PL Kastritis, ...
Proteins: Structure, Function, and Bioinformatics 81 (11), 1980-1987, 2013
Native phasing of x-ray free-electron laser data for a G protein–coupled receptor
A Batyuk, L Galli, A Ishchenko, GW Han, C Gati, PA Popov, MY Lee, ...
Science advances 2 (9), e1600292, 2016
Crystal structure of the Frizzled 4 receptor in a ligand-free state
S Yang, Y Wu, TH Xu, PW de Waal, Y He, M Pu, Y Chen, ZJ DeBruine, ...
Nature 560 (7720), 666-670, 2018
Computational design of thermostabilizing point mutations for G protein-coupled receptors
P Popov, Y Peng, L Shen, RC Stevens, V Cherezov, ZJ Liu, V Katritch
eLife 7, e34729, 2018
Structure-based mechanism of cysteinyl leukotriene receptor inhibition by antiasthmatic drugs
A Luginina, A Gusach, E Marin, A Mishin, R Brouillette, P Popov, ...
Science Advances 5 (10), eaax2518, 2019
Structural basis of ligand selectivity and disease mutations in cysteinyl leukotriene receptors
A Gusach, A Luginina, E Marin, RL Brouillette, É Besserer-Offroy, ...
Nature Communications 10 (1), 1-9, 2019
Crystal structure of misoprostol bound to the labor inducer prostaglandin E 2 receptor
M Audet, KL White, B Breton, B Zarzycka, GW Han, Y Lu, C Gati, A Batyuk, ...
Nature chemical biology 15 (1), 11-17, 2019
graphDelta: MPNN Scoring Function for the Affinity Prediction of Protein–Ligand Complexes
DS Karlov, S Sosnin, MV Fedorov, P Popov
ACS omega 5 (10), 5150-5159, 2020
PEPSI-Dock: a detailed data-driven protein–protein interaction potential accelerated by polar Fourier correlation
E Neveu, DW Ritchie, P Popov, S Grudinin
Bioinformatics 32 (17), i693-i701, 2016
Rapid determination of RMSDs corresponding to macromolecular rigid body motions
P Popov, S Grudinin
Journal of computational chemistry 35 (12), 950-956, 2014
Spatiotemporal identification of druggable binding sites using deep learning
I Kozlovskii, P Popov
Communications biology 3 (1), 1-12, 2020
Knowledge of Native Protein–Protein Interfaces Is Sufficient To Construct Predictive Models for the Selection of Binding Candidates
P Popov, S Grudinin
Journal of chemical information and modeling 55 (10), 2242-2255, 2015
DockTrina: Docking triangular protein trimers
P Popov, DW Ritchie, S Grudinin
Proteins: Structure, Function, and Bioinformatics 82 (1), 34-44, 2014
Predicting binding poses and affinities in the CSAR 2013–2014 docking exercises using the knowledge-based convex-pl potential
S Grudinin, P Popov, E Neveu, G Cheremovskiy
Journal of chemical information and modeling 56 (6), 1053-1062, 2016
RapidRMSD: Rapid determination of RMSDs corresponding to motions of flexible molecules
E Neveu, P Popov, A Hoffmann, A Migliosi, X Besseron, G Danoy, ...
Bioinformatics 34 (16), 2757-2765, 2018
Prediction of disease-associated mutations in the transmembrane regions of proteins with known 3D structure
P Popov, I Bizin, M Gromiha, A Kulandaisamy, D Frishman
PloS one 14 (7), e0219452, 2019
Computational design for thermostabilization of GPCRs
P Popov, I Kozlovskii, V Katritch
Current Opinion in Structural Biology 55, 25-33, 2019
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