Alexey Strokach
Title
Cited by
Cited by
Year
ELASPIC web-server: proteome-wide structure-based prediction of mutation effects on protein stability and binding affinity
DK Witvliet, A Strokach, AF Giraldo-Forero, J Teyra, R Colak, PM Kim
Bioinformatics 32 (10), 1589-1591, 2016
422016
Fast and flexible protein design using deep graph neural networks
A Strokach, D Becerra, C Corbi-Verge, A Perez-Riba, PM Kim
Cell Systems 11 (4), 402-411. e4, 2020
35*2020
Predicting changes in protein stability caused by mutation using sequence‐and structure‐based methods in a CAGI5 blind challenge
A Strokach, C Corbi‐Verge, PM Kim
Human mutation 40 (9), 1414-1423, 2019
132019
Predicting the effect of mutations on protein folding and protein-protein interactions
A Strokach, C Corbi-Verge, J Teyra, PM Kim
Computational Methods in Protein Evolution, 1-17, 2019
122019
Evaluating the predictions of the protein stability change upon single amino acid substitutions for the FXN CAGI5 challenge
C Savojardo, M Petrosino, G Babbi, S Bovo, C Corbi‐Verge, R Casadio, ...
Human mutation 40 (9), 1392-1399, 2019
82019
ELASPIC2 (EL2): Combining Contextualized Language Models and Graph Neural Networks to Predict Effects of Mutations
A Strokach, TY Lu, PM Kim
Journal of molecular biology 433 (11), 166810, 2021
12021
Computational generation of proteins with predetermined three-dimensional shapes using ProteinSolver
A Strokach, D Becerra, C Corbi-Verge, A Perez-Riba, PM Kim
STAR protocols 2 (2), 100505, 2021
2021
PROBING THE OLIGOMERIC STATUS OF G PROTEIN-COUPLED RECEPTORS BY SINGLE-MOLECULE FLUORESCENCE
AV Strokach, JW Wells
JOURNAL OF RECEPTORS AND SIGNAL TRANSDUCTION 33 (3), 203-203, 2013
2013
Probing the Oligomeric Status of G Protein-Coupled Receptors by Forster Resonance Energy Transfer and Single-Particle Fluorescence
A Strokach
2013
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Articles 1–9