Funder
Department of Science and Technology, Ministry of Science and Technology, India
Science and Engineering Research Board
Subject
Health Informatics,Computer Science Applications
Reference83 articles.
1. Machine learning techniques for sequence-based prediction of viral–host interactions between SARS-CoV-2 and human proteins;Dey;Biomed. J.,2020
2. The novel coronavirus 2019 (2019-nCoV) uses the SARS-coronavirus receptor ACE2 and the cellular protease TMPRSS2 for entry into target cells;Hoffmann,2020
3. A SARS-CoV-2 protein interaction map reveals targets for drug repurposing;Gordon;Nature,2020
4. Virus-host interactome and proteomic survey reveal potential virulence factors influencing SARS-CoV-2 pathogenesis;Li;Med,2021
5. A SARS-CoV-2 BioID-based virus-host membrane protein interactome and virus peptide compendium: New proteomics resources for COVID-19 research;St-Germain,2020
Cited by
11 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献