Cargando…
Transferring knowledge of bacterial protein interaction networks to predict pathogen targeted human genes and immune signaling pathways: a case study on M. tuberculosis
BACKGROUND: Bacterial invasive infection and host immune response is fundamental to the understanding of pathogen pathogenesis and the discovery of effective therapeutic drugs. However, there are very few experimental studies on the signaling cross-talks between bacteria and human host to date. METH...
Autores principales: | Mei, Suyu, Flemington, Erik K., Zhang, Kun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6027805/ https://www.ncbi.nlm.nih.gov/pubmed/29954330 http://dx.doi.org/10.1186/s12864-018-4873-9 |
Ejemplares similares
-
In silico unravelling pathogen-host signaling cross-talks via pathogen mimicry and human protein-protein interaction networks
por: Mei, Suyu, et al.
Publicado: (2019) -
Probability Weighted Ensemble Transfer Learning for Predicting Interactions between HIV-1 and Human Proteins
por: Mei, Suyu
Publicado: (2013) -
Neglog: Homology-Based Negative Data Sampling Method for Genome-Scale Reconstruction of Human Protein–Protein Interaction Networks
por: Mei, Suyu, et al.
Publicado: (2019) -
Multi-label ℓ(2)-regularized logistic regression for predicting activation/inhibition relationships in human protein-protein interaction networks
por: Mei, Suyu, et al.
Publicado: (2016) -
AdaBoost Based Multi-Instance Transfer Learning for Predicting Proteome-Wide Interactions between Salmonella and Human Proteins
por: Mei, Suyu, et al.
Publicado: (2014)