Cargando…
Deep Learning-Powered Prediction of Human-Virus Protein-Protein Interactions
Identifying human-virus protein-protein interactions (PPIs) is an essential step for understanding viral infection mechanisms and antiviral response of the human host. Recent advances in high-throughput experimental techniques enable the significant accumulation of human-virus PPI data, which have f...
Autores principales: | Yang, Xiaodi, Yang, Shiping, Ren, Panyu, Wuchty, Stefan, Zhang, Ziding |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051481/ https://www.ncbi.nlm.nih.gov/pubmed/35495666 http://dx.doi.org/10.3389/fmicb.2022.842976 |
Ejemplares similares
-
Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method
por: Yang, Xiaodi, et al.
Publicado: (2019) -
Proteome-wide prediction and analysis of the Cryptosporidium parvum protein–protein interaction network through integrative methods
por: Ren, Panyu, et al.
Publicado: (2022) -
Understanding Human-Virus Protein-Protein Interactions Using a Human Protein Complex-Based Analysis Framework
por: Yang, Shiping, et al.
Publicado: (2019) -
PlaPPISite: a comprehensive resource for plant protein-protein interaction sites
por: Yang, Xiaodi, et al.
Publicado: (2020) -
Protein-protein interactions of human viruses
por: Goodacre, Norman, et al.
Publicado: (2020)