Literature DB >> 28340400

Pharmacoinformatics exploration of polyphenol oxidases leading to novel inhibitors by virtual screening and molecular dynamic simulation study.

Mubashir Hassan1, Qamar Abbas2, Zaman Ashraf3, Ahmed A Moustafa4, Sung-Yum Seo5.   

Abstract

Polyphenol oxidases (PPOs)/tyrosinases are metal-dependent enzymes and known as important targets for melanogenesis. Although considerable attempts have been conducted to control the melanin-associated diseases by using various inhibitors. However, the exploration of the best anti-melanin inhibitor without side effect still remains a challenge in drug discovery. In present study, protein structure prediction, ligand-based pharmacophore modeling, virtual screening, molecular docking and dynamic simulation study were used to screen the strong novel inhibitor to cure melanogenesis. The 3D structures of PPO1 and PPO2 were built through homology modeling, while the 3D crystal structures of PPO3 and PPO4 were retrieved from PDB. Pharmacophore modeling was performed using LigandScout 3.1 software and top five models were selected to screen the libraries (2601 of Aurora and 727, 842 of ZINC). Top 10 hit compounds (C1-10) were short-listed having strong binding affinities for PPO1-4. Drug and synthetic accessibility (SA) scores along with absorption, distribution, metabolism, excretion and toxicity (ADMET) assessment were employed to scrutinize the best lead hit. C4 (name) hit showed the best predicted SA score (5.75), ADMET properties and drug-likeness behavior among the short-listed compounds. Furthermore, docking simulations were performed to check the binding affinity of C1-C10 compounds against target proteins (PPOs). The binding affinity values of complex between C4 and PPOs were higher than those of other complexes (-11.70, -12.1, -9.90 and -11.20kcal/mol with PPO1, PPO2, PPO3, or PPO4, respectively). From comparative docking energy and binding analyses, PPO2 may be considered as better target for melanogenesis than others. The potential binding modes of C4, C8 and C10 against PPO2 were explored using molecular dynamics simulations. The root mean square deviation and fluctuation (RMSD/RMSF) graphs results depict the significance of C4 over the other compounds. Overall, bioactivity and ligand efficiency profiles suggested that the proposed hit may be more effective inhibitors for melanogenesis.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Docking molecular dynamic simulation; Molecular modeling; Polyphenol oxidases (PPOs); Tyrosinase inhibitors

Mesh:

Substances:

Year:  2017        PMID: 28340400     DOI: 10.1016/j.compbiolchem.2017.02.012

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  7 in total

1.  Exploring the mechanistic insights of Cas scaffolding protein family member 4 with protein tyrosine kinase 2 in Alzheimer's disease by evaluating protein interactions through molecular docking and dynamic simulations.

Authors:  Mubashir Hassan; Saba Shahzadi; Hany Alashwal; Nazar Zaki; Sung-Yum Seo; Ahmed A Moustafa
Journal:  Neurol Sci       Date:  2018-05-22       Impact factor: 3.307

2.  Molecular Docking and Dynamic Simulation of AZD3293 and Solanezumab Effects Against BACE1 to Treat Alzheimer's Disease.

Authors:  Mubashir Hassan; Saba Shahzadi; Sung Y Seo; Hany Alashwal; Nazar Zaki; Ahmed A Moustafa
Journal:  Front Comput Neurosci       Date:  2018-06-01       Impact factor: 2.380

3.  Biological and Cheminformatics Studies of Newly Designed Triazole Based Derivatives as Potent Inhibitors against Mushroom Tyrosinase.

Authors:  Mubashir Hassan; Balasaheb D Vanjare; Kyou-Yeong Sim; Hussain Raza; Ki Hwan Lee; Saba Shahzadi; Andrzej Kloczkowski
Journal:  Molecules       Date:  2022-03-07       Impact factor: 4.411

4.  Cephalosporin as Potent Urease and Tyrosinase Inhibitor: Exploration through Enzyme Inhibition, Kinetic Mechanism, and Molecular Docking Studies.

Authors:  Yahya S Alqahtani; Bandar A Alyami; Ali O Alqarni; Mater H Mahnashi; Anser Ali; Qamar Javed; Mubashir Hassan; Muhammad Ehsan
Journal:  Biomed Res Int       Date:  2022-07-28       Impact factor: 3.246

5.  Mechanistic insights into TNFR1/MADD death domains in Alzheimer's disease through conformational molecular dynamic analysis.

Authors:  Mubashir Hassan; Sara Zahid; Hany Alashwal; Andrzej Kloczkowski; Ahmed A Moustafa
Journal:  Sci Rep       Date:  2021-06-10       Impact factor: 4.379

6.  Diaryl azo derivatives as anti-diabetic and antimicrobial agents: synthesis, in vitro, kinetic and docking studies.

Authors:  Tehreem Tahir; Mirza Imran Shahzad; Rukhsana Tabassum; Muhammad Rafiq; Muhammad Ashfaq; Mubashir Hassan; Katarzyna Kotwica-Mojzych; Mariusz Mojzych
Journal:  J Enzyme Inhib Med Chem       Date:  2021-12       Impact factor: 5.051

7.  Identification by shape-based virtual screening and evaluation of new tyrosinase inhibitors.

Authors:  Qi Li; Hongyu Yang; Jun Mo; Yao Chen; Yue Wu; Chen Kang; Yuan Sun; Haopeng Sun
Journal:  PeerJ       Date:  2018-01-26       Impact factor: 2.984

  7 in total

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