Molecular Docking and Dynamics Based Analysis for the Identification of Novel Inhibitors for Human Parkin G319A Using Computational Approaches

被引:1
|
作者
Ali, Aarif [1 ]
Malla, Bashir Ahmad [2 ]
Sehar, Nouroz [3 ]
Ahmad, Sheikh Bilal [1 ]
Imtiyaz, Zuha [4 ]
Arafah, Azher [5 ]
Rehman, Muneeb U. [5 ]
Nadeem, Ahmed [6 ]
机构
[1] SKUAST K, Fac Vet Sci & Anim Husb, Div Vet Biochem, Srinagar 190006, Jammu & Kashmir, India
[2] Univ Kashmir, Fac Biol Sci, Dept Biochem, Srinagar 190006, Jammu & Kashmir, India
[3] Jamia Hamdard, Ctr Translat & Clin Res, Sch Chem & Life Sci, New Delhi 110062, India
[4] Univ Maryland, Sch Med, Dept Pathol, Baltimore, MD 21201 USA
[5] King Saud Univ, Coll Pharm, Dept Clin Pharm, Riyadh 11451, Saudi Arabia
[6] King Saud Univ, Coll Pharm, Dept Pharmacol & Toxicol, Riyadh 11451, Saudi Arabia
关键词
Parkinson's disease; bioactive compounds; ADMET; docking; CASTp; STRING; ENDOPHYTIC FUNGUS; PROTEIN; MODULATION; PATHOPHYSIOLOGY; NEUROPROTECTION; PHYTOCHEMICALS; CYTOCHALASINS; RECEPTORS; PATHWAYS; DISEASE;
D O I
10.23812/j.biol.regul.homeost.agents.20233709.445
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Parkinson's disease (PD) is the second most complex neurodegenerative disorder associated with the loss of dopaminergic neurons and has an unknown etiology. Several pathogenic mechanisms including inflammation, oxidative stress, protein dysfunction, apoptosis, mitochondrial dysfunction, abnormal alpha-synuclein, and autophagy are associated with this dis-order. The current existing medications show limited efficacy and adverse health effects. Hence, in such a scenario, phytocom-pounds can provide an alternate way of effective treatment by repurposing these natural molecules using computational based approaches. Methods: In this study, we explored various plant bioactives as possible inhibitors against the Parkin gene using in silico ap-proaches. In the present study, the absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of the bioactives were determined via predicting small-molecule pharmacokinetic properties (pkCSM). Moreover, the evaluation of molecular docking, dynamics, binding pockets, and protein-protein interactions of the protein was determined via AutoDock Vina, WEBnm@, Computed Atlas of Surface Topography of Proteins (CASTp), and Search Tool for the Retrieval of Interacting Genes/Proteins (STRING). Results: The findings obtained from molecular docking analysis revealed that Cytochalasin E was the most effective bioactive compound that showed the highest binding affinity of -8.6 kcal/mol when docked against the selected protein. In this study, all the bioactives followed Lipinski's rule of five except Sitoindoside IX. The CASTp tool identified the binding pockets in the protein with the top binding site having an accessible surface (AS) area of 250.39 angstrom 2 and an accessible surface (AS) volume of 203.03 angstrom 3 respectively. STRING tool determined the protein-protein interactions by visualizing protein structure. Conclusion: The findings obtained from this study suggest that Cytochalasin E could be repurposed as a potential inhibitor tar-geting Parkin and these outcomes may prove significant in the process of drug designing. However, further in vitro and in vivo studies are required to validate these results.
引用
收藏
页码:4555 / 4569
页数:15
相关论文
共 50 条
  • [31] Identification of novel natural inhibitors of snake venom nucleotidases using a structure-based molecular docking study
    Saoud, S.
    Cherifi, F.
    Laraba-Djebari, F.
    TOXICOLOGY LETTERS, 2018, 295 : S107 - S107
  • [32] Inhibitors of the Cdc34 acidic loop: A computational investigation integrating molecular dynamics, virtual screening and docking approaches
    Arrigoni, Alberto
    Bertini, Luca
    De Gioia, Luca
    Papaleo, Elena
    FEBS OPEN BIO, 2014, 4 : 473 - 484
  • [33] Identification of SARS-CoV-2 RNA dependent RNA polymerase inhibitors using pharmacophore modelling, molecular docking and molecular dynamics simulation approaches
    Pundir, Hemlata
    Joshi, Tanuja
    Pant, Manish
    Bhat, Sunaullah
    Pandey, Jyoti
    Chandra, Subhash
    Tamta, Sushma
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2022, 40 (24): : 13366 - 13377
  • [34] Computational Approaches for Identification of Potential Plant Bioactives as Novel G6PD Inhibitors Using Advanced Tools and Databases
    Aldossari, Rana M.
    Ali, Aarif
    Rehman, Muneeb U.
    Rashid, Summya
    Ahmad, Sheikh Bilal
    MOLECULES, 2023, 28 (07):
  • [35] Identification of novel PI3Kδ inhibitors by docking, ADMET prediction and molecular dynamics simulations
    Liu, Ya-Ya
    Feng, Xiao-Yan
    Jia, Wen-Qing
    Jing, Zhi
    Xu, Wei-Ren
    Cheng, Xian-Chao
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2019, 78 : 190 - 204
  • [36] Identification of novel STAT3 inhibitors for liver fibrosis, using pharmacophore-based virtual screening, molecular docking, and biomolecular dynamics simulations
    Rafiq, Huma
    Hu, Junjian
    Hakami, Mohammed Ageeli
    Hazazi, Ali
    Alamri, Mubarak A.
    Alkhatabi, Hind A.
    Mahmood, Arif
    Alotaibi, Bader S.
    Wadood, Abdul
    Huang, Xiaoyun
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [37] Identification of Novel Inhibitors of Leishmania donovani γ-Glutamylcysteine Synthetase Using Structure-Based Virtual Screening, Docking, Molecular Dynamics Simulation, and in Vitro Studies
    Agnihotri, Pragati
    Mishra, Arjun K.
    Mishra, Shikha
    Sirohi, Vijay Kumar
    Sahasrabuddhe, Amogh A.
    Pratap, J. Venkatesh
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2017, 57 (04) : 815 - 825
  • [38] Identification of promising DNA GyrB inhibitors for Tuberculosis using pharmacophore-based virtual screening, molecular docking and molecular dynamics studies
    Islam, Md Ataul
    Pillay, Tahir S.
    CHEMICAL BIOLOGY & DRUG DESIGN, 2017, 90 (02) : 282 - 296
  • [39] Identification of novel STAT3 inhibitors for liver fibrosis, using pharmacophore-based virtual screening, molecular docking, and biomolecular dynamics simulations
    Huma Rafiq
    Junjian Hu
    Mohammed Ageeli Hakami
    Ali Hazazi
    Mubarak A. Alamri
    Hind A. Alkhatabi
    Arif Mahmood
    Bader S. Alotaibi
    Abdul Wadood
    Xiaoyun Huang
    Scientific Reports, 13
  • [40] Identification of potent inhibitors against snake venom metalloproteinase (SVMP) using molecular docking and molecular dynamics studies
    Chinnasamy, Sathishkumar
    Chinnasamy, Selvakkumar
    Nagamani, Selvaraman
    Muthusamy, Karthikeyan
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2015, 33 (07): : 1516 - 1527