Cargando…
ConnectedAlign: a PPI network alignment method for identifying conserved protein complexes across multiple species
BACKGROUND: In bioinformatics, network alignment algorithms have been applied to protein-protein interaction (PPI) networks to discover evolutionary conserved substructures at the system level. However, most previous methods aim to maximize the similarity of aligned proteins in pairwise networks, wh...
Autores principales: | Gao, Jianliang, Song, Bo, Hu, Xiaohua, Yan, Fengxia, Wang, Jianxin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6101090/ https://www.ncbi.nlm.nih.gov/pubmed/30367584 http://dx.doi.org/10.1186/s12859-018-2271-6 |
Ejemplares similares
-
LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules
por: Maskey, Sawal, et al.
Publicado: (2019) -
BioAlign: An Accurate Global PPI Network Alignment
Algorithm
por: Ayub, Umair, et al.
Publicado: (2022) -
GASOLINE: a Cytoscape app for multiple local alignment of PPI networks
por: Micale, Giovanni, et al.
Publicado: (2014) -
A novel algorithm for alignment of multiple PPI networks based on simulated annealing
por: Hu, Jialu, et al.
Publicado: (2019) -
An Extensive Assessment of Network Embedding in PPI Network Alignment
por: Milano, Marianna, et al.
Publicado: (2022)