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Abdullahi M, Uzairu A, Shallangwa GA, Mamza PA, Ibrahim MT, Chandra A, Goel VK. In-silico molecular modelling studies of some camphor imine based compounds as anti-influenza A (H1N1) pdm09 virus agents. J Biomol Struct Dyn 2024; 42:2013-2033. [PMID: 37166274 DOI: 10.1080/07391102.2023.2209654] [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: 01/04/2023] [Accepted: 04/09/2023] [Indexed: 05/12/2023]
Abstract
The advent of influenza A (H1N1) drug-resistant strains led to the search quest for more potent inhibitors of the influenza A virus, especially in this devastating COVID-19 pandemic era. Hence, the present research utilized some molecular modelling strategies to unveil new camphor imine-based compounds as anti-influenza A (H1N1) pdm09 agents. The 2D-QSAR results revealed GFA-MLR (R2train = 0.9158, Q2=0.8475) and GFA-ANN (R2train = 0.9264, Q2=0.9238) models for the anti-influenza A (H1N1) pdm09 activity prediction which have passed the QSAR model acceptability thresholds. The results from the 3D-QSAR studies also revealed CoMFA (R2train =0.977, Q2=0.509) and CoMSIA_S (R2train =0.976, Q2=0.527) models for activity predictions. Based on the notable information derived from the 2D-QSAR, 3D-QSAR, and docking analysis, ten (10) new camphor imine-based compounds (22a-22j) were designed using the most active compound 22 as the template. Furthermore, the high predicted activity and binding scores of compound 22j were further justified by the high reactive sites shown in the electrostatic potential maps and other quantum chemical calculations. The MD simulation of 22j in the active site of the influenza hemagglutinin (HA) receptor confirmed the dynamic stability of the complex. Moreover, the appraisals of drug-likeness and ADMET properties of the proposed compounds showed zero violation of Lipinski's criteria with good pharmacokinetic profiles. Hence, the outcomes in this work recommend further in-depth in vivo and in-vitro investigations to validate these theoretical findings.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Mustapha Abdullahi
- Faculty of Physical Sciences, Department of Chemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria
- Faculty of Sciences, Department of Pure and Applied Chemistry, Kaduna State University, Zaria, Kaduna State, Nigeria
| | - Adamu Uzairu
- Faculty of Physical Sciences, Department of Chemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria
| | - Gideon Adamu Shallangwa
- Faculty of Physical Sciences, Department of Chemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria
| | - Paul Andrew Mamza
- Faculty of Physical Sciences, Department of Chemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria
| | - Muhammad Tukur Ibrahim
- Faculty of Physical Sciences, Department of Chemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria
| | - Anshuman Chandra
- School of Physical Science, Jawaharlal Nehru University, New Delhi, Delhi, India
| | - Vijay Kumar Goel
- School of Physical Science, Jawaharlal Nehru University, New Delhi, Delhi, India
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Abdullahi M, Uzairu A, Shallangwa GA, Mamza PA, Ibrahim MT, Ahmad I, Patel H. Structure-based drug design, molecular dynamics simulation, ADMET, and quantum chemical studies of some thiazolinones targeting influenza neuraminidase. J Biomol Struct Dyn 2023; 41:13829-13843. [PMID: 37158006 DOI: 10.1080/07391102.2023.2208225] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 02/11/2023] [Indexed: 05/10/2023]
Abstract
The genetic mutability of the influenza virus leads to the existence of drug-resistant strains which is dangerous, particularly with the lingering coronavirus disease (COVID-19). This necessitated the need for the search and discovery of more potential anti-influenza agents to avert future outbreaks. In furtherance of our previous in-silico studies on 5-benzyl-4-thiazolinones as anti-influenza neuraminidase (NA) inhibitors, molecule 11 was selected as the template scaffold for the structure-based drug design due to its good binding, pharmacokinetic profiling, and better NA inhibitory activity. As such, eighteen (18) new molecules (11a-r) were designed with better MolDock scores as compared with the template scaffold and the zanamivir reference drug. However, the dynamic stability of molecule 11a in the binding cavity of the NA target (3TI5) showed water-mediated hydrogen and hydrophobic bondings with the active residues such as Arg118, Ile149, Arg152, Ile222, Trp403, and Ile427 after the MD simulation for 100 ns. The drug-likeness and ADMET assessment of all designed molecules predicted non-violation of the stipulated thresholds of Lipinski's rule and good pharmacokinetic properties respectively. In addition, the quantum chemical calculations also suggested the significant chemical reactivity of molecules with their smaller band energy gap, high electrophilicity, high softness, and low hardness. The results obtained in this study proposed a reliable in-silico viewpoint for anti-influenza drug discovery and development.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Mustapha Abdullahi
- Faculty of Physical Sciences, Department of Chemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria
- Faculty of Sciences, Department of Pure and Applied Chemistry, Kaduna State University, Kaduna, Kaduna State, Nigeria
| | - Adamu Uzairu
- Faculty of Physical Sciences, Department of Chemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria
| | - Gideon Adamu Shallangwa
- Faculty of Physical Sciences, Department of Chemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria
| | - Paul Andrew Mamza
- Faculty of Physical Sciences, Department of Chemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria
| | - Muhammad Tukur Ibrahim
- Faculty of Physical Sciences, Department of Chemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria
| | - Iqrar Ahmad
- Division of Computer Aided Drug Design, Department of Pharmaceutical Chemistry, R. C. Patel Institute of Pharmaceutical Education and Research, Shirpur, Maharashtra, India
| | - Harun Patel
- Division of Computer Aided Drug Design, Department of Pharmaceutical Chemistry, R. C. Patel Institute of Pharmaceutical Education and Research, Shirpur, Maharashtra, India
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Abdullahi M, Uzairu A, Eltayb WA, Shallangwa GA, Mamza PA, Ibrahim MT. 3D-QSAR, homology modelling of influenza hemagglutinin receptor (StrainA/WS/1933), molecular dynamics, DFT, and ADMET studies for newly designed inhibitors. J INDIAN CHEM SOC 2023. [DOI: 10.1016/j.jics.2023.100975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
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Ejeh S, Uzairu A, Shallangwa GA, Abechi SE, Ibrahim MT, Ramu R, Al-Ghorbani M. Chemical bioinformatics study of Nonadec-7-ene-4-carboxylic acid derivatives via molecular docking, and molecular dynamic simulations to identify novel lead inhibitors of hepatitis c virus NS3/4a protease. SCIENTIFIC AFRICAN 2023. [DOI: 10.1016/j.sciaf.2023.e01591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2023] Open
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Chemometric Study, Homology Modeling of G Protein-Coupled Bile Acids Receptor (GPBAR_HUMAN) of Type-2 Diabetes Mellitus, Virtual Screening Evaluation, Drug-Likeness and ADME Prediction for Newly Designed Compounds. Macromol Res 2022. [DOI: 10.1007/s13233-022-0071-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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