Cargando…
Revealing evolutionary constraints on proteins through sequence analysis
Statistical analysis of alignments of large numbers of protein sequences has revealed “sectors” of collectively coevolving amino acids in several protein families. Here, we show that selection acting on any functional property of a protein, represented by an additive trait, can give rise to such a s...
Autores principales: | Wang, Shou-Wen, Bitbol, Anne-Florence, Wingreen, Ned S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502352/ https://www.ncbi.nlm.nih.gov/pubmed/31017888 http://dx.doi.org/10.1371/journal.pcbi.1007010 |
Ejemplares similares
-
Inferring interaction partners from protein sequences using mutual information
por: Bitbol, Anne-Florence
Publicado: (2018) -
Adapt or Perish: Evolutionary Rescue in a Gradually Deteriorating Environment
por: Marrec, Loïc, et al.
Publicado: (2020) -
Phylogenetic correlations can suffice to infer protein partners from sequences
por: Marmier, Guillaume, et al.
Publicado: (2019) -
Correlations from structure and phylogeny combine constructively in the inference of protein partners from sequences
por: Gerardos, Andonis, et al.
Publicado: (2022) -
Protein language models trained on multiple sequence alignments learn phylogenetic relationships
por: Lupo, Umberto, et al.
Publicado: (2022)