Cargando…
Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM
Protein-protein interactions (PPIs) play a very large part in most cellular processes. Although a great deal of research has been devoted to detecting PPIs through high-throughput technologies, these methods are clearly expensive and cumbersome. Compared with the traditional experimental methods, co...
Autores principales: | Wang, Yan-Bin, You, Zhu-Hong, Li, Li-Ping, Huang, Yu-An, Yi, Hai-Cheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6152086/ https://www.ncbi.nlm.nih.gov/pubmed/28820478 http://dx.doi.org/10.3390/molecules22081366 |
Ejemplares similares
-
Ensemble Learning Prediction of Drug-Target Interactions Using GIST Descriptor Extracted from PSSM-Based Evolutionary Information
por: Zhan, Xinke, et al.
Publicado: (2020) -
Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier
por: Li, Zheng-Wei, et al.
Publicado: (2017) -
Varroa Destructor Classification Using Legendre–Fourier Moments with Different Color Spaces
por: Noriega-Escamilla, Alicia, et al.
Publicado: (2023) -
An Ensemble Classifier to Predict Protein–Protein Interactions by Combining PSSM-based Evolutionary Information with Local Binary Pattern Model
por: Li, Yang, et al.
Publicado: (2019) -
Improving Prediction of Self-interacting Proteins Using Stacked Sparse Auto-Encoder with PSSM profiles
por: Wang, Yan-Bin, et al.
Publicado: (2018)