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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Veröffentlicht in:	Current opinion in structural biology Jg. 80; S. 102571
Hauptverfasser:	Malbranke, Cyril, Bikard, David, Cocco, Simona, Monasson, Rémi, Tubiana, Jérôme
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier Ltd 01.06.2023 Elsevier
Schlagworte:	Physics
ISSN:	0959-440X, 1879-033X, 1879-033X
Online-Zugang:	Volltext
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