Cargando…
Predicting Protein-Protein Interactions via Random Ferns with Evolutionary Matrix Representation
Protein-protein interactions (PPIs) play a crucial role in understanding disease pathogenesis, genetic mechanisms, guiding drug design, and other biochemical processes, thus, the identification of PPIs is of great importance. With the rapid development of high-throughput sequencing technology, a lar...
Autores principales: | Li, Yang, Wang, Zheng, You, Zhu-Hong, Li, Li-Ping, Hu, Xuegang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888042/ https://www.ncbi.nlm.nih.gov/pubmed/35242211 http://dx.doi.org/10.1155/2022/7191684 |
Ejemplares similares
-
Identification and evolutionary analysis of chalcone isomerase-fold proteins in ferns
por: Ni, Rong, et al.
Publicado: (2020) -
Robust and accurate prediction of protein–protein interactions by exploiting evolutionary information
por: Li, Yang, et al.
Publicado: (2021) -
Highly Accurate Prediction of Protein-Protein Interactions via Incorporating Evolutionary Information and Physicochemical Characteristics
por: Li, Zheng-Wei, et al.
Publicado: (2016) -
Detecting Protein-Protein Interactions with a Novel Matrix-Based Protein Sequence Representation and Support Vector Machines
por: You, Zhu-Hong, et al.
Publicado: (2015) -
MSPEDTI: Prediction of Drug–Target Interactions via Molecular Structure with Protein Evolutionary Information
por: Wang, Lei, et al.
Publicado: (2022)