Cargando…
A Graph Approach to Mining Biological Patterns in the Binding Interfaces
Protein–RNA interactions play important roles in the biological systems. Searching for regular patterns in the Protein–RNA binding interfaces is important for understanding how protein and RNA recognize each other and bind to form a complex. Herein, we present a graph-mining method for discovering b...
Autores principales: | Cheng, Wen, Yan, Changhui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5220573/ https://www.ncbi.nlm.nih.gov/pubmed/27892693 http://dx.doi.org/10.1089/cmb.2016.0128 |
Ejemplares similares
-
A graph kernel method for DNA-binding site prediction
por: Yan, Changhui, et al.
Publicado: (2014) -
Graph mining for next generation sequencing: leveraging the assembly graph for biological insights
por: Warnke-Sommer, Julia, et al.
Publicado: (2016) -
Mining subgraph coverage patterns from graph transactions
por: Reddy, A. Srinivas, et al.
Publicado: (2021) -
FlexGraph: Flexible partitioning and storage for scalable graph mining
por: Park, Chiwan, et al.
Publicado: (2020) -
ppiGReMLIN: a graph mining based detection of conserved structural arrangements in protein-protein interfaces
por: Queiroz, Felippe C., et al.
Publicado: (2020)