Novel inhibitors to ADP ribose phosphatase of SARS-CoV-2 identified by structure-based high throughput virtual screening and molecular dynamics simulations. (January 2022)
- Record Type:
- Journal Article
- Title:
- Novel inhibitors to ADP ribose phosphatase of SARS-CoV-2 identified by structure-based high throughput virtual screening and molecular dynamics simulations. (January 2022)
- Main Title:
- Novel inhibitors to ADP ribose phosphatase of SARS-CoV-2 identified by structure-based high throughput virtual screening and molecular dynamics simulations
- Authors:
- Patel, Dhrumi C.
Hausman, Katherine R.
Arba, Muhammad
Tran, Annie
Lakernick, Phillip M.
Wu, Chun - Abstract:
- Abstract: The outbreak of a new coronavirus (SARS-CoV-2) was first identified in Wuhan, People's Republic of China, in 2019, which has led to a severe, life-threatening form of pneumonia (COVID-19). Research scientists all around the world have been trying to find small molecule drugs to treat COVID-19. In the present study, a conserved macrodomain, ADP Ribose phosphatase (ADRP), of a critical non-structural protein (Nsp3) in all coronaviruses was probed using large-scale Molecular Dynamics (MD) simulations to identify novel inhibitors. In our virtual screening workflow, the recently-solved X-ray complex structure, 6W6Y, with a substrate-mimics was used to screen 17 million ZINC15 compounds using drug property filters and Glide docking scores. The top twenty output compounds each underwent 200 ns MD simulations (i.e. 20 × 200 ns) to validate their individual stability as potential inhibitors. Eight out of the twenty compounds showed stable binding modes in the MD simulations, as well as favorable drug properties from our predctions. Therefore, our computational data suggest that the resulting top eight out of twenty compounds could potentially be novel inhibitors to ADRP of SARS-CoV-2. Highlights: The NSP3 containing ADRP/macrodomain of SARS-CoV-2 was targeted by 17 million zinc15 compounds. Top 20 compounds have good docking scores to bind with macrodomain of nsp3 8 compounds are shown to be potential inhibitors of ADP-ribose phosphatase of nsp3 of SARS-CoV-2 based on theirAbstract: The outbreak of a new coronavirus (SARS-CoV-2) was first identified in Wuhan, People's Republic of China, in 2019, which has led to a severe, life-threatening form of pneumonia (COVID-19). Research scientists all around the world have been trying to find small molecule drugs to treat COVID-19. In the present study, a conserved macrodomain, ADP Ribose phosphatase (ADRP), of a critical non-structural protein (Nsp3) in all coronaviruses was probed using large-scale Molecular Dynamics (MD) simulations to identify novel inhibitors. In our virtual screening workflow, the recently-solved X-ray complex structure, 6W6Y, with a substrate-mimics was used to screen 17 million ZINC15 compounds using drug property filters and Glide docking scores. The top twenty output compounds each underwent 200 ns MD simulations (i.e. 20 × 200 ns) to validate their individual stability as potential inhibitors. Eight out of the twenty compounds showed stable binding modes in the MD simulations, as well as favorable drug properties from our predctions. Therefore, our computational data suggest that the resulting top eight out of twenty compounds could potentially be novel inhibitors to ADRP of SARS-CoV-2. Highlights: The NSP3 containing ADRP/macrodomain of SARS-CoV-2 was targeted by 17 million zinc15 compounds. Top 20 compounds have good docking scores to bind with macrodomain of nsp3 8 compounds are shown to be potential inhibitors of ADP-ribose phosphatase of nsp3 of SARS-CoV-2 based on their improved MM-GBSA binding free energy score. … (more)
- Is Part Of:
- Computers in biology and medicine. Volume 140(2022)
- Journal:
- Computers in biology and medicine
- Issue:
- Volume 140(2022)
- Issue Display:
- Volume 140, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 140
- Issue:
- 2022
- Issue Sort Value:
- 2022-0140-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-01
- Subjects:
- SARS-CoV-2 -- COVID-19 -- Nsp3 -- Macrodomain -- Docking -- MD simulation
Medicine -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
610.285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00104825/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiomed.2021.105084 ↗
- Languages:
- English
- ISSNs:
- 0010-4825
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.880000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20386.xml