Machine learning techniques for sequence-based prediction of viral–host interactions between SARS-CoV-2 and human proteins

Machine learning techniques for sequence-based prediction of viral–host interactions between SARS-CoV-2 and human proteins

Background: COVID-19 (Coronavirus Disease-19), a disease caused by the SARS-CoV-2 virus, has been declared as a pandemic by the World Health Organization on March 11, 2020. Over 15 million people have already been affected worldwide by COVID-19, resulting in more than 0.6 million deaths. Protein–pro...

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Bibliographic Details
Main Authors: Lopamudra Dey, Sanjay Chakraborty, Anirban Mukhopadhyay
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Biomedical Journal
Subjects:
COVID-19
SARS-CoV-2
Protein–protein interaction
Supervised classification
Machine learning
Classifier ensemble
Online Access:http://www.sciencedirect.com/science/article/pii/S2319417020301360

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http://www.sciencedirect.com/science/article/pii/S2319417020301360

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