Machine learning for evolutionary-based and physics-inspired protein design: Current and future synergies

Computational protein design facilitates the discovery of novel proteins with prescribed structure and functionality. Exciting designs were recently reported using novel data-driven methodologies that can be roughly divided into two categories: evolutionary-based and physics-inspired approaches. The...

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Bibliographic Details
Published in:Current opinion in structural biology Vol. 80; p. 102571
Main Authors: Malbranke, Cyril, Bikard, David, Cocco, Simona, Monasson, Rémi, Tubiana, Jérôme
Format: Journal Article
Language:English
Published: England Elsevier Ltd 01.06.2023
Elsevier
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ISSN:0959-440X, 1879-033X, 1879-033X
Online Access:Get full text
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