Screening of Natural Products Targeting SARS-CoV-2–ACE2 Receptor Interface – A MixMD Based HTVS Pipeline

The COVID-19 pandemic, caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a severe global health crisis now. SARS-CoV-2 utilizes its Spike protein receptor-binding domain (S-protein) to invade human cell through binding to Angiotensin-Converting Enzyme 2 receptor (ACE2)...

Full description

Bibliographic Details
Main Authors: Krishnasamy Gopinath, Elmeri M. Jokinen, Sami T. Kurkinen, Olli T. Pentikäinen
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Chemistry
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fchem.2020.589769/full
id doaj-12d67effe17b41ff83ffc64f025b4a16
record_format Article
spelling doaj-12d67effe17b41ff83ffc64f025b4a162020-11-25T04:03:28ZengFrontiers Media S.A.Frontiers in Chemistry2296-26462020-11-01810.3389/fchem.2020.589769589769Screening of Natural Products Targeting SARS-CoV-2–ACE2 Receptor Interface – A MixMD Based HTVS PipelineKrishnasamy GopinathElmeri M. JokinenSami T. KurkinenOlli T. PentikäinenThe COVID-19 pandemic, caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a severe global health crisis now. SARS-CoV-2 utilizes its Spike protein receptor-binding domain (S-protein) to invade human cell through binding to Angiotensin-Converting Enzyme 2 receptor (ACE2). S-protein is the key target for many therapeutics and vaccines. Potential S-protein–ACE2 fusion inhibitor is expected to block the virus entry into the host cell. In many countries, traditional practices, based on natural products (NPs) have been in use to slow down COVID-19 infection. In this study, a protocol was applied that combines mixed solvent molecular dynamics simulations (MixMD) with high-throughput virtual screening (HTVS) to search NPs to block SARS-CoV-2 entry into the human cell. MixMD simulations were employed to discover the most promising stable binding conformations of drug-like probes in the S-protein–ACE2 interface. Detected stable sites were used for HTVs of 612093 NPs to identify molecules that could interfere with the S-protein–ACE2 interaction. In total, 19 NPs were selected with rescoring model. These top-ranked NP–S-protein complexes were subjected to classical MD simulations for 300 ns (3 replicates of 100 ns) to estimate the stability and affinity of binding. Three compounds, ZINC000002128789, ZINC000002159944 and SN00059335, showed better stability in all MD runs, of which ZINC000002128789 was predicted to have the highest binding affinity, suggesting that it could be effective modulator in RBD-ACE2 interface to prevent SARS-CoV-2 infection. Our results support that NPs may provide tools to fight COVID-19.https://www.frontiersin.org/articles/10.3389/fchem.2020.589769/fullCOVID-19mixed solvent molecular dynamics simulationnatural productspike proteinACE2
collection DOAJ
language English
format Article
sources DOAJ
author Krishnasamy Gopinath
Elmeri M. Jokinen
Sami T. Kurkinen
Olli T. Pentikäinen
spellingShingle Krishnasamy Gopinath
Elmeri M. Jokinen
Sami T. Kurkinen
Olli T. Pentikäinen
Screening of Natural Products Targeting SARS-CoV-2–ACE2 Receptor Interface – A MixMD Based HTVS Pipeline
Frontiers in Chemistry
COVID-19
mixed solvent molecular dynamics simulation
natural product
spike protein
ACE2
author_facet Krishnasamy Gopinath
Elmeri M. Jokinen
Sami T. Kurkinen
Olli T. Pentikäinen
author_sort Krishnasamy Gopinath
title Screening of Natural Products Targeting SARS-CoV-2–ACE2 Receptor Interface – A MixMD Based HTVS Pipeline
title_short Screening of Natural Products Targeting SARS-CoV-2–ACE2 Receptor Interface – A MixMD Based HTVS Pipeline
title_full Screening of Natural Products Targeting SARS-CoV-2–ACE2 Receptor Interface – A MixMD Based HTVS Pipeline
title_fullStr Screening of Natural Products Targeting SARS-CoV-2–ACE2 Receptor Interface – A MixMD Based HTVS Pipeline
title_full_unstemmed Screening of Natural Products Targeting SARS-CoV-2–ACE2 Receptor Interface – A MixMD Based HTVS Pipeline
title_sort screening of natural products targeting sars-cov-2–ace2 receptor interface – a mixmd based htvs pipeline
publisher Frontiers Media S.A.
series Frontiers in Chemistry
issn 2296-2646
publishDate 2020-11-01
description The COVID-19 pandemic, caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a severe global health crisis now. SARS-CoV-2 utilizes its Spike protein receptor-binding domain (S-protein) to invade human cell through binding to Angiotensin-Converting Enzyme 2 receptor (ACE2). S-protein is the key target for many therapeutics and vaccines. Potential S-protein–ACE2 fusion inhibitor is expected to block the virus entry into the host cell. In many countries, traditional practices, based on natural products (NPs) have been in use to slow down COVID-19 infection. In this study, a protocol was applied that combines mixed solvent molecular dynamics simulations (MixMD) with high-throughput virtual screening (HTVS) to search NPs to block SARS-CoV-2 entry into the human cell. MixMD simulations were employed to discover the most promising stable binding conformations of drug-like probes in the S-protein–ACE2 interface. Detected stable sites were used for HTVs of 612093 NPs to identify molecules that could interfere with the S-protein–ACE2 interaction. In total, 19 NPs were selected with rescoring model. These top-ranked NP–S-protein complexes were subjected to classical MD simulations for 300 ns (3 replicates of 100 ns) to estimate the stability and affinity of binding. Three compounds, ZINC000002128789, ZINC000002159944 and SN00059335, showed better stability in all MD runs, of which ZINC000002128789 was predicted to have the highest binding affinity, suggesting that it could be effective modulator in RBD-ACE2 interface to prevent SARS-CoV-2 infection. Our results support that NPs may provide tools to fight COVID-19.
topic COVID-19
mixed solvent molecular dynamics simulation
natural product
spike protein
ACE2
url https://www.frontiersin.org/articles/10.3389/fchem.2020.589769/full
work_keys_str_mv AT krishnasamygopinath screeningofnaturalproductstargetingsarscov2ace2receptorinterfaceamixmdbasedhtvspipeline
AT elmerimjokinen screeningofnaturalproductstargetingsarscov2ace2receptorinterfaceamixmdbasedhtvspipeline
AT samitkurkinen screeningofnaturalproductstargetingsarscov2ace2receptorinterfaceamixmdbasedhtvspipeline
AT ollitpentikainen screeningofnaturalproductstargetingsarscov2ace2receptorinterfaceamixmdbasedhtvspipeline
_version_ 1724439947581063168