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Structures of SARS-CoV-2 RNA-Binding Proteins and Therapeutic Targets

Authors :
Muhammad Irfan
Abrar Ahmed
Sathishkumar Chinnasamy
Anwar Khan
Arif Ali
Aman Chandra Kaushik
Muhammad Tahir Khan
Hina Ahsan
Dong-Qing Wei
Source :
Intervirology
Publication Year :
2021
Publisher :
S. Karger AG, 2021.

Abstract

Background: The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) epidemic has resulted in thousands of infections and deaths worldwide. Several therapies are currently undergoing clinical trials for the treatment of SARS-CoV-2 infection. However, the development of new drugs and the repositioning of existing drugs can only be achieved after the identification of potential therapeutic targets within structures, as this strategy provides the most precise solution for developing treatments for sudden epidemic infectious diseases. Summary: In the current investigation, crystal and cryo-electron microscopy structures encoded by the SARS-CoV-2 genome were systematically examined for the identification of potential drug targets. These structures include nonstructural proteins (Nsp-9; Nsp-12; and Nsp-15), nucleocapsid (N) proteins, and the main protease (Mpro). Key Message: The structural information reveals the presence of many potential alternative therapeutic targets, primarily involved in interaction between N protein and Nsp3, forming replication-transcription complexes (RTCs) which might be a potential drug target for effective control of current SARS-CoV-2 pandemic. RTCs consist of 16 nonstructural proteins (Nsp1-16) that play the most essential role in the synthesis of viral RNA. Targeting the physical linkage between the envelope and single-stranded positive RNA, a process facilitated by matrix proteins may provide a good alternative strategy. Our current study provides useful information for the development of new lead compounds against SARS-CoV-2 infections.

Details

Language :
English
ISSN :
14230100 and 03005526
Database :
OpenAIRE
Journal :
Intervirology
Accession number :
edsair.doi.dedup.....5a34d536b2589b7ec49dae2865893e3d