Alexey Strokach

Fast and Flexible Protein Design Using Deep Graph Neural Networks

Alexey Strokach, David Becerra, Carles Corbi‐Verge et al. · Cell Systems · 2020 · 230 citations · Full text

Life Sciences, Bioinformatics, Computational Design +17

A universal deep-learning model for zinc finger design enables transcription factor reprogramming

David M. Ichikawa, Osama Abdin, Nader Alerasool et al. · Nature Biotechnology · 2023 · 97 citations · Full text

Life Sciences, Biotechnology, Molecular Biology +13

ELASPIC web-server: proteome-wide structure-based prediction of mutation effects on protein stability and binding affinity

Daniel Witvliet, Alexey Strokach, Andrés Felipe Giraldo-Forero et al. · Bioinformatics · 2016 · 82 citations · Full text

Life Sciences, Biochemistry, Bioinformatics +17

ELASPIC2 (EL2): Combining Contextualized Language Models and Graph Neural Networks to Predict Effects of Mutations

Alexey Strokach, Tianyu Lu, Philip M. Kim · Journal of Molecular Biology · 2021 · 44 citations · Full text

Life Sciences, Bioinformatics, Molecular Biology +17

Predicting changes in protein stability caused by mutation using sequence‐and structure‐based methods in a CAGI5 blind challenge

Alexey Strokach, Carles Corbi‐Verge, Philip M. Kim · Human Mutation · 2019 · 39 citations · Full text

Life Sciences, Biochemistry, Bioinformatics +14