Cargando…
Integrating sequence and gene expression information predicts genome-wide DNA-binding proteins and suggests a cooperative mechanism
DNA-binding proteins (DBPs) perform diverse biological functions ranging from transcription to pathogen sensing. Machine learning methods can not only identify DBPs de novo but also provide insights into their DNA-recognition dynamics. However, it remains unclear whether available methods that can a...
Autores principales: | Ahmad, Shandar, Prathipati, Philip, Tripathi, Lokesh P, Chen, Yi-An, Arya, Ajay, Murakami, Yoichi, Mizuguchi, Kenji |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758906/ https://www.ncbi.nlm.nih.gov/pubmed/29186632 http://dx.doi.org/10.1093/nar/gkx1166 |
Ejemplares similares
-
Novel approach for selecting the best predictor for identifying the binding sites in DNA binding proteins
por: Nagarajan, R., et al.
Publicado: (2013) -
Integrated Pathway Clusters with Coherent Biological Themes for Target Prioritisation
por: Chen, Yi-An, et al.
Publicado: (2014) -
Brefeldin A-inhibited guanine nucleotide-exchange protein 3 (BIG3) is predicted to interact with its partner through an ARM-type α-helical structure
por: Chen, Yi-An, et al.
Publicado: (2014) -
Predicting eukaryotic transcriptional cooperativity by Bayesian network integration of genome-wide data
por: Wang, Yong, et al.
Publicado: (2009) -
Predicting conformational ensembles and genome-wide transcription factor binding sites from DNA sequences
por: Andrabi, Munazah, et al.
Publicado: (2017)