QSAR modeling approaches to identify a novel ACE2 inhibitor that selectively bind with the C and N terminals of the ectodomain

Due to the high rates of drug development failure and the massive expenses associated with drug discovery, repurposing existing drugs has become more popular. As a result, we have used QSAR modelling on a large and varied dataset of 657 compounds in an effort to discover both explicit and subtle str...

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Main Authors: Jawarkar, Rahul D, Zaki, Magdi E A, Al-Hussain, Sami A, Al-Mutairi, Aamal A, Samad, Abdul, Mukerjee, Nobendu, Ghosh, Arabinda, Masand, Vijay H, Long, Chiau Ming *, Rashid, Summya
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Published: Taylor and Francis Group 2024
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Online Access:http://eprints.sunway.edu.my/2550/
https://doi.org/10.1080/07391102.2023.2205948
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spelling my.sunway.eprints.25502024-05-15T06:45:02Z http://eprints.sunway.edu.my/2550/ QSAR modeling approaches to identify a novel ACE2 inhibitor that selectively bind with the C and N terminals of the ectodomain Jawarkar, Rahul D Zaki, Magdi E A Al-Hussain, Sami A Al-Mutairi, Aamal A Samad, Abdul Mukerjee, Nobendu Ghosh, Arabinda Masand, Vijay H Long, Chiau Ming * Rashid, Summya QP Physiology RM Therapeutics. Pharmacology Due to the high rates of drug development failure and the massive expenses associated with drug discovery, repurposing existing drugs has become more popular. As a result, we have used QSAR modelling on a large and varied dataset of 657 compounds in an effort to discover both explicit and subtle structural features requisite for ACE2 inhibitory activity, with the goal of identifying novel hit molecules. The QSAR modelling yielded a statistically robust QSAR model with high predictivity (R2tr=0.84, R2ex=0.79), previously undisclosed features, and novel mechanistic interpretations. The developed QSAR model predicted the ACE2 inhibitory activity (PIC50) of 1615 ZINC FDA compounds. This led to the detection of a PIC50 of 8.604 M for the hit molecule (ZINC000027990463). The hit molecule's docking score is -9.67 kcal/mol (RMSD 1.4). The hit molecule revealed 25 interactions with the residue ASP40, which defines the N and C termini of the ectodomain of ACE2. The HIT molecule conducted more than thirty contacts with water molecules and exhibited polar interaction with the ARG522 residue coupled with the second chloride ion, which is 10.4 nm away from the zinc ion. Both molecular docking and QSAR produced comparable findings. Moreover, MD simulation and MMGBSA studies verified docking analysis. The MD simulation showed that the hit molecule-ACE2 receptor complex is stable for 400 ns, suggesting that repurposed hit molecule 3 is a viable ACE2 inhibitor. Taylor and Francis Group 2024 Article PeerReviewed Jawarkar, Rahul D and Zaki, Magdi E A and Al-Hussain, Sami A and Al-Mutairi, Aamal A and Samad, Abdul and Mukerjee, Nobendu and Ghosh, Arabinda and Masand, Vijay H and Long, Chiau Ming * and Rashid, Summya (2024) QSAR modeling approaches to identify a novel ACE2 inhibitor that selectively bind with the C and N terminals of the ectodomain. Journal of Biomolecular Structure and Dynamics, 42 (5). pp. 2550-2569. ISSN 1538-0254 https://doi.org/10.1080/07391102.2023.2205948 10.1080/07391102.2023.2205948
institution Sunway University
building Sunway Campus Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Sunway University
content_source Sunway Institutional Repository
url_provider http://eprints.sunway.edu.my/
topic QP Physiology
RM Therapeutics. Pharmacology
spellingShingle QP Physiology
RM Therapeutics. Pharmacology
Jawarkar, Rahul D
Zaki, Magdi E A
Al-Hussain, Sami A
Al-Mutairi, Aamal A
Samad, Abdul
Mukerjee, Nobendu
Ghosh, Arabinda
Masand, Vijay H
Long, Chiau Ming *
Rashid, Summya
QSAR modeling approaches to identify a novel ACE2 inhibitor that selectively bind with the C and N terminals of the ectodomain
description Due to the high rates of drug development failure and the massive expenses associated with drug discovery, repurposing existing drugs has become more popular. As a result, we have used QSAR modelling on a large and varied dataset of 657 compounds in an effort to discover both explicit and subtle structural features requisite for ACE2 inhibitory activity, with the goal of identifying novel hit molecules. The QSAR modelling yielded a statistically robust QSAR model with high predictivity (R2tr=0.84, R2ex=0.79), previously undisclosed features, and novel mechanistic interpretations. The developed QSAR model predicted the ACE2 inhibitory activity (PIC50) of 1615 ZINC FDA compounds. This led to the detection of a PIC50 of 8.604 M for the hit molecule (ZINC000027990463). The hit molecule's docking score is -9.67 kcal/mol (RMSD 1.4). The hit molecule revealed 25 interactions with the residue ASP40, which defines the N and C termini of the ectodomain of ACE2. The HIT molecule conducted more than thirty contacts with water molecules and exhibited polar interaction with the ARG522 residue coupled with the second chloride ion, which is 10.4 nm away from the zinc ion. Both molecular docking and QSAR produced comparable findings. Moreover, MD simulation and MMGBSA studies verified docking analysis. The MD simulation showed that the hit molecule-ACE2 receptor complex is stable for 400 ns, suggesting that repurposed hit molecule 3 is a viable ACE2 inhibitor.
format Article
author Jawarkar, Rahul D
Zaki, Magdi E A
Al-Hussain, Sami A
Al-Mutairi, Aamal A
Samad, Abdul
Mukerjee, Nobendu
Ghosh, Arabinda
Masand, Vijay H
Long, Chiau Ming *
Rashid, Summya
author_facet Jawarkar, Rahul D
Zaki, Magdi E A
Al-Hussain, Sami A
Al-Mutairi, Aamal A
Samad, Abdul
Mukerjee, Nobendu
Ghosh, Arabinda
Masand, Vijay H
Long, Chiau Ming *
Rashid, Summya
author_sort Jawarkar, Rahul D
title QSAR modeling approaches to identify a novel ACE2 inhibitor that selectively bind with the C and N terminals of the ectodomain
title_short QSAR modeling approaches to identify a novel ACE2 inhibitor that selectively bind with the C and N terminals of the ectodomain
title_full QSAR modeling approaches to identify a novel ACE2 inhibitor that selectively bind with the C and N terminals of the ectodomain
title_fullStr QSAR modeling approaches to identify a novel ACE2 inhibitor that selectively bind with the C and N terminals of the ectodomain
title_full_unstemmed QSAR modeling approaches to identify a novel ACE2 inhibitor that selectively bind with the C and N terminals of the ectodomain
title_sort qsar modeling approaches to identify a novel ace2 inhibitor that selectively bind with the c and n terminals of the ectodomain
publisher Taylor and Francis Group
publishDate 2024
url http://eprints.sunway.edu.my/2550/
https://doi.org/10.1080/07391102.2023.2205948
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score 13.209306