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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Detalles Bibliográficos
Autores principales: Gonzalez Somermeyer, Louisa, Fleiss, Aubin, Mishin, Alexander S, Bozhanova, Nina G, Igolkina, Anna A, Meiler, Jens, Alaball Pujol, Maria-Elisenda, Putintseva, Ekaterina V, Sarkisyan, Karen S, Kondrashov, Fyodor A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Computational and Systems Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119679/
https://www.ncbi.nlm.nih.gov/pubmed/35510622
http://dx.doi.org/10.7554/eLife.75842

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119679/
https://www.ncbi.nlm.nih.gov/pubmed/35510622
http://dx.doi.org/10.7554/eLife.75842

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