From principal component to direct coupling analysis of coevolution in proteins: low-eigenvalue modes are needed for structure prediction.
Various approaches have explored the covariation of residues in multiple-sequence alignments of homologous proteins to extract functional and structural information. Among those are principal component analysis (PCA), which identifies the most correlated groups of residues, and direct coupling analy...
Enregistré dans:
Auteurs principaux: | Simona Cocco, Remi Monasson, Martin Weigt |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Public Library of Science (PLoS)
2013
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/68c16feebb164cbb9f09f23f2fca9ce6 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Documents similaires
-
Eigenvalue-based entropy in directed complex networks.
par: Yan Sun, et autres
Publié: (2021) -
Spillover modes in multiplex games: double-edged effects on cooperation and their coevolution
par: Tommy Khoo, et autres
Publié: (2018) -
Characterization of maize populations in different environmental conditions by means of Three-Mode Principal Components Analysis
par: Marticorena,Marta, et autres
Publié: (2010) -
The coevolution of lifespan and reversible plasticity
par: Irja I. Ratikainen, et autres
Publié: (2019) -
Real Valued Functions for the BFKL Eigenvalue
par: Mohammad Joubat, et autres
Publié: (2021)