Cargando…
Identification of Protein–Protein Interactions via a Novel Matrix-Based Sequence Representation Model with Amino Acid Contact Information
Identification of protein–protein interactions (PPIs) is a difficult and important problem in biology. Since experimental methods for predicting PPIs are both expensive and time-consuming, many computational methods have been developed to predict PPIs and interaction networks, which can be used to c...
Autores principales: | Ding, Yijie, Tang, Jijun, Guo, Fei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5085656/ https://www.ncbi.nlm.nih.gov/pubmed/27669239 http://dx.doi.org/10.3390/ijms17101623 |
Ejemplares similares
-
Predicting protein-protein interactions via multivariate mutual information of protein sequences
por: Ding, Yijie, et al.
Publicado: (2016) -
Identification of DNA–protein Binding Sites through Multi-Scale Local Average Blocks on Sequence Information
por: Shen, Cong, et al.
Publicado: (2017) -
Improved detection of DNA-binding proteins via compression technology on PSSM information
por: Wang, Yubo, et al.
Publicado: (2017) -
Multivariate Information Fusion With Fast Kernel Learning to Kernel Ridge Regression in Predicting LncRNA-Protein Interactions
por: Shen, Cong, et al.
Publicado: (2019) -
Identifying protein-protein interface via a novel multi-scale local sequence and structural representation
por: Guo, Fei, et al.
Publicado: (2019)