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

ABSTRACT:

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-protein interactions (PPIs) play a key role in the cellular process of SARS-CoV-2 virus infection in the human body. Recently a study has reported some SARS-CoV-2 proteins that interact with several human proteins while many potential interactions remain to be identified.

Method

In this article, various machine learning models are built to predict the PPIs between the virus and human proteins that are further validated using biological experiments. The classification models are prepar

SUBMITTER: Dey L 

PROVIDER: S-EPMC7470713 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature