Computational Protein Design for COVID-19 Research and Emerging Therapeutics

© 2023 The Authors. Published by American Chemical Society..

As the world struggles with the ongoing COVID-19 pandemic, unprecedented obstacles have continuously been traversed as new SARS-CoV-2 variants continually emerge. Infectious disease outbreaks are unavoidable, but the knowledge gained from the successes and failures will help create a robust health management system to deal with such pandemics. Previously, scientists required years to develop diagnostics, therapeutics, or vaccines; however, we have seen that, with the rapid deployment of high-throughput technologies and unprecedented scientific collaboration worldwide, breakthrough discoveries can be accelerated and insights broadened. Computational protein design (CPD) is a game-changing new technology that has provided alternative therapeutic strategies for pandemic management. In addition to the development of peptide-based inhibitors, miniprotein binders, decoys, biosensors, nanobodies, and monoclonal antibodies, CPD has also been used to redesign native SARS-CoV-2 proteins and human ACE2 receptors. We discuss how novel CPD strategies have been exploited to develop rationally designed and robust COVID-19 treatment strategies.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:9

Enthalten in:

ACS central science - 9(2023), 4 vom: 26. Apr., Seite 602-613

Sprache:

Englisch

Beteiligte Personen:

Kalita, Parismita [VerfasserIn]
Tripathi, Timir [VerfasserIn]
Padhi, Aditya K [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Review

Anmerkungen:

Date Revised 29.08.2023

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.1021/acscentsci.2c01513

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM356258408