Informatics in Medicine Unlocked (Jan 2021)
A computational study on hydroxychloroquine binding to target proteins related to SARS-COV-2 infection
Abstract
COVID-19 disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has posed a global health emergency. Repurposing of existing drugs can be a rapid and effective strategy to fight the infection. Clinical trials have reported reduction or elimination of viral load when patients were treated with the anti-malarial drug Hydroxychloroquine (HCQ). To understand the molecular mechanism of action for effective repurposing of this drug we have carried out in silico docking and dynamics studies on complexes between HCQ and target proteins, which were identified through both literature survey and structural similarity searches in databases of small molecule – protein complexes. The proteins identified as binding HCQ are: Angiotensin Converting Enzyme 2 (ACE2), α7 nicotinic AcetylCholine Receptor (α7 nAChR), α1D-adrenergic receptor (α1D-AR), Histamine N- Methyl Transferase (HNMT) and DNA gyrase/Topoisomerase III β (Top3β). The majority of these proteins are novel and have not been used before, in docking studies. Our docking and simulation results support action of HCQ both at the entry and post-entry stages of SARS-CoV2 infection. The mechanism of action at the entry stage is through blocking the virus-binding sites on the two receptors, ACE2 & α7 nAChR, by binding directly at those sites. Our computational studies also show that the action of HCQ at the post-entry stage is to prevent both viral replication and generation of ‘cytokine storm’ by inhibiting host Top3β enzyme and α1D-AR, respectively. Binding of HCQ to HNMT is not a desired binding, and therefore this should be reduced during repurposing of HCQ.
