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Targeting protein-protein interaction interfaces in COVID-19 drug discovery

  • Chung ke Chang
  • , Shan Meng Lin
  • , Roshan Satange
  • , Shih Chao Lin
  • , Sin Cih Sun
  • , Hung Yi Wu
  • , Kylene Kehn-Hall
  • , Ming Hon Hou*
  • *Corresponding author for this work
  • Academia Sinica - Institute of Biomedical Sciences
  • National Chung Hsing University
  • National Taiwan Ocean University
  • Virginia Polytechnic Institute and State University

Research output: Contribution to journalReview articlepeer-review

38 Scopus citations

Abstract

To date, the COVID-19 pandemic has claimed over 1 million human lives, infected another 50 million individuals and wreaked havoc on the global economy. The crisis has spurred the ongoing development of drugs targeting its etiological agent, the SARS-CoV-2. Targeting relevant protein-protein interaction interfaces (PPIIs) is a viable paradigm for the design of antiviral drugs and enriches the targetable chemical space by providing alternative targets for drug discovery. In this review, we will provide a comprehensive overview of the theory, methods and applications of PPII-targeted drug development towards COVID-19 based on recent literature. We will also highlight novel developments, such as the successful use of non-native protein-protein interactions as targets for antiviral drug screening. We hope that this review may serve as an entry point for those interested in applying PPIIs towards COVID-19 drug discovery and speed up drug development against the pandemic.

Original languageEnglish
Pages (from-to)2246-2255
Number of pages10
JournalComputational and Structural Biotechnology Journal
Volume19
DOIs
StatePublished - 01 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 The Authors

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Antiviral strategy
  • COVID-19
  • Drug discovery
  • PPIIs
  • SARS-CoV-2

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