Author: Pirolli, Davide; Righino, Benedetta; De Rosa, Maria Cristina
Title: Targeting SARSâ€CoVâ€2 Spike Protein/ACE2 Proteinâ€Protein Interactions: a Computational Study Cord-id: 2pv68ju7 Document date: 2021_4_27
ID: 2pv68ju7
Snippet: The spike glycoprotein (S) of the SARSâ€CoVâ€2 virus surface plays a key role in receptor binding and virus entry. The S protein uses the angiotensin converting enzyme (ACE2) for entry into the host cell and binding to ACE2 occurs at the receptor binding domain (RBD) of the S protein. Therefore, the proteinâ€protein interactions (PPIs) between the SARSâ€CoVâ€2 RBD and human ACE2, could be attractive therapeutic targets for drug discovery approaches designed to inhibit the entry of SARSâ€Co
Document: The spike glycoprotein (S) of the SARSâ€CoVâ€2 virus surface plays a key role in receptor binding and virus entry. The S protein uses the angiotensin converting enzyme (ACE2) for entry into the host cell and binding to ACE2 occurs at the receptor binding domain (RBD) of the S protein. Therefore, the proteinâ€protein interactions (PPIs) between the SARSâ€CoVâ€2 RBD and human ACE2, could be attractive therapeutic targets for drug discovery approaches designed to inhibit the entry of SARSâ€CoVâ€2 into the host cells. Herein, with the support of machine learning approaches, we report structureâ€based virtual screening as an effective strategy to discover PPIs inhibitors from ZINC database. The proposed computational protocol led to the identification of a promising scaffold which was selected for subsequent binding mode analysis and that can represent a useful starting point for the development of new treatments of the SARSâ€CoVâ€2 infection.
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