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Tasneem A, Sultan A, Singh P, Bairagya HR, Almasoudi HH, Alhazmi AYM, Binshaya AS, Hakami MA, Alotaibi BS, Abdulaziz Eisa A, Alolaiqy ASI, Hasan MR, Dev K, Dohare R. Identification of potential therapeutic targets for COVID-19 through a structural-based similarity approach between SARS-CoV-2 and its human host proteins. Front Genet 2024; 15:1292280. [PMID: 38370514 PMCID: PMC10869566 DOI: 10.3389/fgene.2024.1292280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 01/08/2024] [Indexed: 02/20/2024] Open
Abstract
Background: The COVID-19 pandemic caused by SARS-CoV-2 has led to millions of deaths worldwide, and vaccination efficacy has been decreasing with each lineage, necessitating the need for alternative antiviral therapies. Predicting host-virus protein-protein interactions (HV-PPIs) is essential for identifying potential host-targeting drug targets against SARS-CoV-2 infection. Objective: This study aims to identify therapeutic target proteins in humans that could act as virus-host-targeting drug targets against SARS-CoV-2 and study their interaction against antiviral inhibitors. Methods: A structure-based similarity approach was used to predict human proteins similar to SARS-CoV-2 ("hCoV-2"), followed by identifying PPIs between hCoV-2 and its target human proteins. Overlapping genes were identified between the protein-coding genes of the target and COVID-19-infected patient's mRNA expression data. Pathway and Gene Ontology (GO) term analyses, the construction of PPI networks, and the detection of hub gene modules were performed. Structure-based virtual screening with antiviral compounds was performed to identify potential hits against target gene-encoded protein. Results: This study predicted 19,051 unique target human proteins that interact with hCoV-2, and compared to the microarray dataset, 1,120 target and infected group differentially expressed genes (TIG-DEGs) were identified. The significant pathway and GO enrichment analyses revealed the involvement of these genes in several biological processes and molecular functions. PPI network analysis identified a significant hub gene with maximum neighboring partners. Virtual screening analysis identified three potential antiviral compounds against the target gene-encoded protein. Conclusion: This study provides potential targets for host-targeting drug development against SARS-CoV-2 infection, and further experimental validation of the target protein is required for pharmaceutical intervention.
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Affiliation(s)
- Alvea Tasneem
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India
| | - Armiya Sultan
- Department of Biotechnology, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India
| | - Prithvi Singh
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India
| | - Hridoy R. Bairagya
- Department of Bioinformatics, Maulana Abul Kalam Azad University of Technology, Haringhata, West Bengal, India
| | - Hassan Hussain Almasoudi
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Najran University, Najran, Saudi Arabia
| | | | - Abdulkarim S. Binshaya
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia
| | - Mohammed Ageeli Hakami
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Al- Quwayiyah, Shaqra University, Riyadh, Saudi Arabia
| | - Bader S. Alotaibi
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Al- Quwayiyah, Shaqra University, Riyadh, Saudi Arabia
| | - Alaa Abdulaziz Eisa
- Department of Medical Laboratory Technology, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia
| | | | - Mohammad Raghibul Hasan
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Al- Quwayiyah, Shaqra University, Riyadh, Saudi Arabia
| | - Kapil Dev
- Department of Biotechnology, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India
| | - Ravins Dohare
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India
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Chen X, Xue B, Wahab S, Sultan A, Khalid M, Yang S. Structure-based molecular docking and molecular dynamics simulations study for the identification of dipeptidyl peptidase 4 inhibitors in type 2 diabetes. J Biomol Struct Dyn 2023:1-14. [PMID: 38100564 DOI: 10.1080/07391102.2023.2291831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 11/23/2023] [Indexed: 12/17/2023]
Abstract
Inhibition of dipeptidyl peptidase-4 (DPP4) activity has emerged as a promising therapeutic approach for the treatment of type 2 diabetes mellitus (T2DM). Bioinformatics-driven approaches have emerged as crucial tools in drug discovery. Molecular docking and molecular dynamics (MD) simulations are effective tools in drug discovery, as they reduce the time and cost associated with experimental screening. In this study, we employed structure-assisted in-silico methods, including molecular docking and MD simulations, to identify SRT2183, a small molecule that may potentially inhibit the activity of DPP4 enzyme. The interaction between the small molecule "SRT2183" and DPP4 exhibited a binding affinity of -9.9 Kcal/Mol, leading to the formation of hydrogen bonds with the amino acid residues MET348, SER376, and THR351 of DPP4. The MD simulations over a period of 100 ns indicated stable protein-ligand interactions, with no significant conformational rearrangements observed within the simulated timeframe. In conclusion, our results suggest that the small molecule SRT2183 may have the potential to inhibit the DPP4 enzyme and pave the way for the therapeutics of T2DM.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Xi Chen
- School of Management, Guangzhou College of Technology and Business, Guangzhou, China
| | - Bin Xue
- School of Engineering, Guangzhou College of Technology and Business, Guangzhou, China
| | - Shadma Wahab
- Department of Pharmacognosy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia
| | - Armiya Sultan
- Department of Biotechnology, Jamia Millia Islamia, New Delhi, India
| | - Mohammad Khalid
- Department of Pharmacognosy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia
| | - Song Yang
- Department of Wine, Food and Molecular Biosciences, Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln, New Zealand
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Khan M, Khan S, Bushara NZA, Ali R, Tabassum Z, Ishrat R, Marouf HAA, Sherwani S, Mirza S, Haque S. Inhibitory effect of natural compounds on Dihydropteroate synthase of Mycobacterium leprae: Molecular dynamic study. J Biomol Struct Dyn 2023; 41:13857-13872. [PMID: 37070201 DOI: 10.1080/07391102.2023.2193992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 02/12/2023] [Indexed: 04/19/2023]
Abstract
Leprosy is a chronic infectious disease caused by a bacillus, Mycobacterium leprae. According to official data from 139 countries in the 6 WHO Regions, there were 127558 new leprosy cases worldwide in 2020. Leprosy mainly affects the skin, the peripheral nerves, mucosa of the upper respiratory tract, and the eyes. If this disease is left untreated, can harm the skin, nerves, limbs, eyes, and skin permanently. The disease is curable with multidrug therapy. Over a period of time Mycobacterium leprae has become resistant to these drugs. Therefore, new therapeutic molecules are warranted. This study was aimed to carry out the in-silico analysis to determine the inhibitory effect of natural compounds on Dihydropteroate synthase (DHPS) of Mycobacterium leprae. The DHPS is a key enzyme in the folate biosynthesis pathway in M. leprae and acts as a competitive inhibitor of PABA. The 3D structure of DHPS protein was modeled using homology modeling and was validated. Molecular docking and simulation along with other in-silico methods were employed to determine the inhibitory effect of ligand molecules towards DHPS target protein. Results revealed ZINC03830554 molecule as a potential inhibitor of DHPS. Binding experiments and bioassays utilizing this strong inhibitor molecule against purified DHPS protein are necessary to validate these early findings.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Mahvish Khan
- Department of Biology, College of Science, Ha'il University, Ha'il, Saudi Arabia
| | - Saif Khan
- Department of Basic Dental and Medical Sciences, College of Dentistry, Ha'il University, Ha'il, Saudi Arabia
| | - Nashwa Zaki Ali Bushara
- Department of Preventive Dental Sciences, College of Dentistry, Ha'il University, Ha'il, Saudi Arabia
| | - Rafat Ali
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia (Central University), New Delhi, India
| | - Zainab Tabassum
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia (Central University), New Delhi, India
| | - Romana Ishrat
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia (Central University), New Delhi, India
| | - Hussein Abdel-Aziz Marouf
- Department of Oral and Maxillofacial Surgery, College of Dentistry, Ha'il University, Ha'il, Saudi Arabia
| | - Subuhi Sherwani
- Department of Biology, College of Science, Ha'il University, Ha'il, Saudi Arabia
| | - Shadab Mirza
- Department of Health Services Administration, College of Dentistry, Ha'il University, Ha'il, Saudi Arabia
| | - Shafiul Haque
- Research and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
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Ahmad Bhat S, Islam Siddiqui Z, Ahmad Parray Z, Sultan A, Afroz M, Ali Azam S, Rahman Farooqui S, Naqui Kazim S. Naturally occurring HMGB1 inhibitor delineating the anti-hepatitis B virus mechanism of glycyrrhizin via in vitro and in silico studies. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.119029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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