Cargando…
M2PP: a novel computational model for predicting drug-targeted pathogenic proteins
BACKGROUND: Detecting pathogenic proteins is the origin way to understand the mechanism and resist the invasion of diseases, making pathogenic protein prediction develop into an urgent problem to be solved. Prediction for genome-wide proteins may be not necessarily conducive to rapidly cure diseases...
Autores principales: | Wang, Shiming, Li, Jie, Wang, Yadong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728953/ https://www.ncbi.nlm.nih.gov/pubmed/34983358 http://dx.doi.org/10.1186/s12859-021-04522-9 |
Ejemplares similares
-
A Bipartite Network Module-Based Project to Predict Pathogen–Host Association
por: Li, Jie, et al.
Publicado: (2020) -
UniDrug-Target: A Computational Tool to Identify Unique Drug Targets in Pathogenic Bacteria
por: Chanumolu, Sree Krishna, et al.
Publicado: (2012) -
Computational approaches for prediction of pathogen-host protein-protein interactions
por: Nourani, Esmaeil, et al.
Publicado: (2015) -
Design of a novel antimicrobial peptide 1018M targeted ppGpp to inhibit MRSA biofilm formation
por: Jiale, Zhou, et al.
Publicado: (2021) -
Computational Methods for Protein Structure Prediction and Modeling
por: Xu, Ying, et al.
Publicado: (2007)