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Sergey Ovchinnikov is a biologist who studies protein structure and evolution at various scales. He uses phylogenetic inference, protein structure prediction/determination, protein design, deep learning, and differentiable programming to tackle evolutionary questions.
Assessing the utility of coevolution-based residue–residue contact predictions in a sequence-and structure-rich era. H Kamisetty, S Ovchinnikov, D Baker. Proceedings of the National Academy of...
11 de jul. de 2023 · Sergey Ovchinnikov, Regina Barzilay, … David Baker. Show authors. Nature 620 , 1089–1100 ( 2023) Cite this article. 160k Accesses. 154 Citations. 297 Altmetric. Metrics. There has been...
Sergey OVCHINNIKOV | Cited by 12,647 | of Harvard University, MA (Harvard) | Read 94 publications | Contact Sergey OVCHINNIKOV
19 de jun. de 2024 · Abstract. De novo design of complex protein folds using solely computational means remains a substantial challenge 1. Here we use a robust deep learning pipeline to design complex folds and ...
Sergey Ovchinnikov via Europe PubMed Central Robust and accurate prediction of residue-residue interactions across protein interfaces using evolutionary information. 2014 | Journal article
13 de abr. de 2022 · This web page does not contain any information about sergey ovchinnikov. It is a news feature about AlphaFold, an AI tool that can predict protein structures, and its impact on biology.
