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)...
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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 |
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