Prediction of interactions between viral and host proteins using supervised machine learning methods

Viral-host protein-protein interaction plays a vital role in pathogenesis, since it defines viral infection of the host and regulation of the host proteins. Identification of key viral-host protein-protein interactions (PPIs) has great implication for therapeutics. In this study, a systematic attemp...

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Veröffentlicht in:	PloS one 2014-11, Vol.9 (11), p.e112034-e112034
Hauptverfasser:	Barman, Ranjan Kumar, Saha, Sudipto, Das, Santasabuj
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Amino acid composition Amino acids Artificial intelligence Bayes Theorem Bayesian analysis Bioinformatics Biology and Life Sciences C protein Cholera Databases, Genetic Datasets Docking Forests HBX protein Health aspects Hepatitis Hepatitis B Hepatitis B virus HIV Human immunodeficiency virus Humans Informatics Killing Learning algorithms Machine learning Mathematical models Membrane proteins Methionine Methods Models, Molecular P protein Pathogenesis Predictions Protein Binding Protein interaction Protein Interaction Mapping - methods Protein-protein interactions Proteins Proteins - chemistry Proteins - metabolism Sensitivity Sensitivity analysis Serine Support Vector Machine Teaching methods Topology Valine Vibrio cholerae Viral Proteins - chemistry Viral Proteins - metabolism Virology Viruses X protein Yeast
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