Identification of SARS-CoV-2 main protease inhibitors from FDA-approved drugs by artificial intelligence-supported activity prediction system. Issue 5 (24th March 2023)
- Record Type:
- Journal Article
- Title:
- Identification of SARS-CoV-2 main protease inhibitors from FDA-approved drugs by artificial intelligence-supported activity prediction system. Issue 5 (24th March 2023)
- Main Title:
- Identification of SARS-CoV-2 main protease inhibitors from FDA-approved drugs by artificial intelligence-supported activity prediction system
- Authors:
- Komatsu, Hirotsugu
Tanaka, Takeshi
Ye, Zhengmao
Ikeda, Ken
Matsuzaki, Takao
Yasugi, Mayo
Hosoda, Masato - Abstract:
- Abstract: Although a certain level of efficacy and safety of several vaccine products against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) have been established, unmet medical needs for orally active small molecule therapeutic drugs are still very high. As a key drug target molecule, SARS-CoV-2 main protease (M pro ) is focused and large number of in-silico screenings, a part of which were supported by artificial intelligence (AI), have been conducted to identify M pro inhibitors both through drug repurposing and drug discovery approaches. In the many drug-repurposing studies, docking simulation-based technologies have been mainly employed and contributed to the identification of several M pro binders. On the other hand, because AI-guided INTerprotein's Engine for New Drug Design (AI-guided INTENDD), an AI-supported activity prediction system for small molecules, enables to propose the potential binders by proprietary AI scores but not docking scores, it was expected to identify novel potential M pro binders from FDA-approved drugs. As a result, we selected 20 potential M pro binders using AI-guided INTENDD, of which 13 drugs showed M pro -binding signal by surface plasmon resonance (SPR) method. Six (6) compounds among the 13 positive drugs were identified for the first time by the present study. Furthermore, it was verified that vorapaxar bound to M pro with a Kd value of 27 µM by SPR method and inhibited virus replication in SARS-CoV-2 infected cells withAbstract: Although a certain level of efficacy and safety of several vaccine products against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) have been established, unmet medical needs for orally active small molecule therapeutic drugs are still very high. As a key drug target molecule, SARS-CoV-2 main protease (M pro ) is focused and large number of in-silico screenings, a part of which were supported by artificial intelligence (AI), have been conducted to identify M pro inhibitors both through drug repurposing and drug discovery approaches. In the many drug-repurposing studies, docking simulation-based technologies have been mainly employed and contributed to the identification of several M pro binders. On the other hand, because AI-guided INTerprotein's Engine for New Drug Design (AI-guided INTENDD), an AI-supported activity prediction system for small molecules, enables to propose the potential binders by proprietary AI scores but not docking scores, it was expected to identify novel potential M pro binders from FDA-approved drugs. As a result, we selected 20 potential M pro binders using AI-guided INTENDD, of which 13 drugs showed M pro -binding signal by surface plasmon resonance (SPR) method. Six (6) compounds among the 13 positive drugs were identified for the first time by the present study. Furthermore, it was verified that vorapaxar bound to M pro with a Kd value of 27 µM by SPR method and inhibited virus replication in SARS-CoV-2 infected cells with an EC50 value of 11 µM. Communicated by Ramaswamy H. Sarma … (more)
- Is Part Of:
- Journal of biomolecular structure & dynamics. Volume 41:Issue 5(2023)
- Journal:
- Journal of biomolecular structure & dynamics
- Issue:
- Volume 41:Issue 5(2023)
- Issue Display:
- Volume 41, Issue 5 (2023)
- Year:
- 2023
- Volume:
- 41
- Issue:
- 5
- Issue Sort Value:
- 2023-0041-0005-0000
- Page Start:
- 1767
- Page End:
- 1775
- Publication Date:
- 2023-03-24
- Subjects:
- COVID-19 -- main protease -- small molecule inhibitor -- artificial intelligence -- drug repurposing
Biomolecules -- Periodicals
Molecular structure -- Periodicals
Molecular Biology -- Periodicals
Biomechanics -- Periodicals
572 - Journal URLs:
- http://www.tandfonline.com/loi/tbsd20 ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/07391102.2021.2024260 ↗
- Languages:
- English
- ISSNs:
- 0739-1102
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4953.850000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 25520.xml