Targeting SARS-CoV-2 RBD Interface: a Supervised Computational Data-Driven Approach to Identify Potential Modulators.
ChemMedChem
; 15(20): 1921-1931, 2020 10 19.
Article
in English
| MEDLINE | ID: covidwho-670488
ABSTRACT
Coronavirus disease 2019 (COVID-19) has spread out as a pandemic threat affecting over 2 million people. The infectious process initiates via binding of SARS-CoV-2 Spike (S) glycoprotein to host angiotensin-converting enzyme 2 (ACE2). The interaction is mediated by the receptor-binding domain (RBD) of S glycoprotein, promoting host receptor recognition and binding to ACE2 peptidase domain (PD), thus representing a promising target for therapeutic intervention. Herein, we present a computational study aimed at identifying small molecules potentially able to target RBD. Although targeting PPI remains a challenge in drug discovery, our investigation highlights that interaction between SARS-CoV-2 RBD and ACE2 PD might be prone to small molecule modulation, due to the hydrophilic nature of the bi-molecular recognition process and the presence of druggable hot spots. The fundamental objective is to identify, and provide to the international scientific community, hit molecules potentially suitable to enter the drug discovery process, preclinical validation and development.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Protein Binding
/
Peptidyl-Dipeptidase A
/
Small Molecule Libraries
/
Spike Glycoprotein, Coronavirus
/
Betacoronavirus
Type of study:
Prognostic study
Topics:
Traditional medicine
Limits:
Humans
Language:
English
Journal:
ChemMedChem
Journal subject:
Pharmacology
/
Chemistry
Year:
2020
Document Type:
Article
Affiliation country:
Cmdc.202000259
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