Cargando…
Computing Highly Correlated Positions Using Mutual Information and Graph Theory for G Protein-Coupled Receptors
G protein-coupled receptors (GPCRs) are a superfamily of seven transmembrane-spanning proteins involved in a wide array of physiological functions and are the most common targets of pharmaceuticals. This study aims to identify a cohort or clique of positions that share high mutual information. Using...
Autores principales: | Fatakia, Sarosh N., Costanzi, Stefano, Chow, Carson C. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2650788/ https://www.ncbi.nlm.nih.gov/pubmed/19262747 http://dx.doi.org/10.1371/journal.pone.0004681 |
Ejemplares similares
-
Molecular Evolution of the Transmembrane Domains of G Protein-Coupled Receptors
por: Fatakia, Sarosh N., et al.
Publicado: (2011) -
G protein-coupled receptors: computer-aided ligand discovery and computational structural analyses in the 2010s
por: Costanzi, Stefano
Publicado: (2013) -
Brain Network Modeling Based on Mutual Information and Graph Theory for Predicting the Connection Mechanism in the Progression of Alzheimer’s Disease
por: Si, Shuaizong, et al.
Publicado: (2019) -
Systems-level chromosomal parameters represent a suprachromosomal basis for the non-random chromosomal arrangement in human interphase nuclei
por: Fatakia, Sarosh N., et al.
Publicado: (2016) -
Graph theory and computing
por: Read, Ronald C
Publicado: (1972)