Cargando…
Coevolutionary data-based interaction networks approach highlighting key residues across protein families: The case of the G-protein coupled receptors
We present an approach that, by integrating structural data with Direct Coupling Analysis, is able to pinpoint most of the interaction hotspots (i.e. key residues for the biological activity) across very sparse protein families in a single run. An application to the Class A G-protein coupled recepto...
Autores principales: | Baldessari, Filippo, Capelli, Riccardo, Carloni, Paolo, Giorgetti, Alejandro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260681/ https://www.ncbi.nlm.nih.gov/pubmed/32489528 http://dx.doi.org/10.1016/j.csbj.2020.05.003 |
Ejemplares similares
-
Hybrid Molecular Mechanics/Coarse-Grained Simulations for Structural Prediction of G-Protein Coupled Receptor/Ligand Complexes
por: Leguèbe, Michael, et al.
Publicado: (2012) -
Hybrid MM/CG Webserver: Automatic Set Up of Molecular Mechanics/Coarse-Grained Simulations for Human G Protein-Coupled Receptor/Ligand Complexes
por: Schneider, Jakob, et al.
Publicado: (2020) -
Capturing coevolutionary signals inrepeat proteins
por: Espada, Rocío, et al.
Publicado: (2015) -
Protein sites with more coevolutionary connections tend to evolve slower, while more variable protein families acquire higher coevolutionary connections
por: Mandloi, Sapan, et al.
Publicado: (2017) -
Coevolutionary Analysis of Protein Subfamilies by Sequence Reweighting
por: Malinverni, Duccio, et al.
Publicado: (2019)