Heterogeneity of the GFP fitness landscape and data-driven protein design

Heterogeneity of the GFP fitness landscape and data-driven protein design

Studies of protein fitness landscapes reveal biophysical constraints guiding protein evolution and empower prediction of functional proteins. However, generalisation of these findings is limited due to scarceness of systematic data on fitness landscapes of proteins with a defined evolutionary relati...

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Bibliographic Details
Main Authors: Louisa Gonzalez Somermeyer, Aubin Fleiss, Alexander S Mishin, Nina G Bozhanova, Anna A Igolkina, Jens Meiler, Maria-Elisenda Alaball Pujol, Ekaterina V Putintseva, Karen S Sarkisyan, Fyodor A Kondrashov
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2022-05-01
Series:eLife
Subjects:
fitness landscape
molecular evolution
protein engineering
machine learning
GFP
Online Access:https://elifesciences.org/articles/75842

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