Identification of potential inhibitors against Corynebacterium diphtheriae MtrA response regulator protein; an in-silico drug discovery approach

被引:0
|
作者
Khalid, Zunera [1 ]
Shamim, Amen [2 ,7 ]
Saadh, Mohamed J. [3 ]
Alafnan, Ahmed [4 ]
Alaraj, Mohd [6 ]
Butt, Muhammad Hassan [2 ]
Ashraf, Tehreem [5 ]
机构
[1] Univ Sci & Technol China, Sch Life Sci, Hefei 230027, Anhui, Peoples R China
[2] Univ Agr Faisalabad, Dept Comp Sci, Faisalabad, Pakistan
[3] Middle East Univ, Fac Pharm, Amman, Jordan
[4] Univ Hail, Coll Pharm, Dept Pharmacol & Toxicol, Hail, Saudi Arabia
[5] Quaid I Azam Univ, Natl Ctr Bioinformat, Islamabad, Pakistan
[6] Jerash Private Univ, Fac Pharm, Jerash, Jordan
[7] Univ Manchester, Manchester Inst Biotechnol, Manchester, England
关键词
Corynebacterium diphtheriae; MtrA response regulator; Asinex library; Molecular docking; Molecular dynamics simulation; FREE-ENERGY CALCULATIONS; MOLECULAR-DYNAMICS; MODE ANALYSIS; DOMAIN; AMBER; WEB; METHYLTRANSFERASE; RECOGNITION; ENZYME;
D O I
10.1016/j.jmgm.2024.108858
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Corynebacterium diphtheriae is a multi-drug resistant bacteria responsible for the life-threatening respiratory illness, diphtheria which can lead to severe Nervous system disorders, mainly infecting the lungs, heart, and kidneys if left untreated. In the current study, Corynebacterium diphtheriae MtrA response regulator protein was targeted, which regulates a two-component system of bacterial pathogenesis, and initiates DNA replication and cell division. In the current study a computational approach have been described for drug development against C. diphtheriae infections by inhibiting MtrA protein by small molecules acting as potential inhibitors against it. Molecular docking analysis of the equilibrated MtrA protein revealed compound-0.2970, compound-0.3029, and compound-0.3016 from Asinex Library as the promising inhibitors based on their lowest binding energies (-9.8 kJ/mol, -9.2 kJ/mol, and -8.9 kJ/mol), highest gold scores (40.53, 47.41, and 48.41), drug-likeness and pharmacokinetic properties. The MD simulation studies of the identified top-ranked inhibitors at 100 ns elucidated the system stability and fluctuations in the binding pocket of MtrA protein. Molecular Dynamics Simulations of the top three docked complexes further revealed that the standard binding pocket was retained ensuring the system stability. The rearrangements of H-bonds, van der Waals, pi-pi, and solid hydrophobic interactions were also observed. The binding free energy calculations (MM/PBSA and MM/GBSA) suggested a fundamental binding capability of the ligand to the target receptor MtrA. Therefore, the current study has provided excellent candidates acting as potent inhibitors for developing therapeutic drugs against C. diphtheriae infections. However, in vivo and in vitro animal experiments and accurate clinical trials are needed to validate the potential inhibitory effect of these compounds.
引用
收藏
页数:13
相关论文
共 47 条
  • [41] Identification of Potential Modulators of a Pathogenic G Protein-Gated Inwardly Rectifying K+ Channel 4 Mutant: In Silico Investigation in the Context of Drug Discovery for Hypertension
    Pitsillou, Eleni
    Logothetis, Alexander N. O.
    Liang, Julia J.
    El-Osta, Assam
    Hung, Andrew
    Abumaziad, Asmaa S.
    Karagiannis, Tom C.
    MOLECULES, 2023, 28 (24):
  • [42] Identification of Potential Semisynthetic Andrographolide Derivatives to Combat COVID-19 by Targeting the SARS-COV-2 Spike Protein and Human ACE2 Receptor- An In-silico Approach
    Ravichandran, Veerasamy
    BIOINTERFACE RESEARCH IN APPLIED CHEMISTRY, 2023, 13 (02):
  • [43] Computer-assisted drug discovery of potential natural inhibitors of the SARS-CoV-2 RNA-dependent RNA polymerase through a multi-phase in silico approach
    Elkaeed, Eslam B.
    Alsfouk, Bshra A.
    Ibrahim, Tuqa H.
    Arafa, Reem K.
    Elkady, Hazem
    Ibrahim, Ibrahim M.
    Eissa, Ibrahim H.
    Metwaly, Ahmed M.
    ANTIVIRAL THERAPY, 2023, 28 (05)
  • [44] Identification of potential inhibitors of the E2 protein of Eastern equine encephalitis virus (EEEV) using molecular docking, density functional theory, and molecular dynamics simulations: an in silico approach
    Naeem, Iqra
    Shah, Syed Sib Tul Hassan
    Qi, Zhechen
    Bibi, Maria
    Iqbal, Syeda Saira
    CHEMICAL PAPERS, 2025, : 3065 - 3084
  • [45] In-Silico Design of Novel Indole-Selenide Derivatives as Potential P-Glycoprotein Inhibitors Against Multi-Drug Resistance in MCF-7/ADR Cells: 2D-QSAR, Molecular Docking, and Dynamics Simulations
    Guendouzi, Abdelmadjid
    Belkhiri, Lotfi
    Houari, Brahim
    Djekoun, Abdelhamid
    Guendouzi, Abdelkrim
    CHEMISTRYSELECT, 2024, 9 (41):
  • [46] Identification of Potential Inhibitors against the Human Influenza A Virus Targeting the CPSF30 and RNA Binding Domains of the NS1 Protein: An E-Pharmacophore approach
    Chandra, Ishwar
    Behera, Abhisek Kumar
    Cherian, Sarah Sabu
    INDIAN JOURNAL OF PHARMACEUTICAL EDUCATION AND RESEARCH, 2017, 51 (01) : 25 - 33
  • [47] Per-Residue Energy Footprints-Based Pharmacophore Modeling as an Enhanced In Silico Approach in Drug Discovery: A Case Study on the Identification of Novel β-Secretase1 (BACE1) Inhibitors as Anti-Alzheimer Agents
    Kumalo, H. M.
    Soliman, Mahmoud E.
    CELLULAR AND MOLECULAR BIOENGINEERING, 2016, 9 (01) : 175 - 189