Literature DB >> 25920949

Virtual screening, ADMET profiling, molecular docking and dynamics approaches to search for potent selective natural molecules based inhibitors against metallothionein-III to study Alzheimer's disease.

Sudeep Roy1, Akhil Kumar2, Mohd Hassan Baig3, Michal Masařík4, Ivo Provazník5.   

Abstract

MOTIVATION: Metallothionein-III (MT-III) displays neuro-inhibitory activity and is involved in the repair of neuronal damage. An altered expression level of MT-III suggests that it could be a mitigating factor in Alzheimer's disease (AD) neuronal dysfunction. Currently there are limited marketed drugs available against MT-III. The inhibitors are mostly pseudo-peptide based with limited ADMET. In our present study, available database InterBioScreen (natural compounds) was screened out for MT-III. Pharmacodynamics and pharmacokinetic studies were performed. Molecular docking and simulations of top hit molecules were performed to study complex stability.
RESULTS: Study reveals potent selective molecules that interact and form hydrogen bonds with amino acids Ser-6 and Lys-22 are common to established melatonin inhibitors for MT-III. These include DMHMIO, MCA B and s27533 derivatives. The ADMET profiling was better with comparable interaction energy values. It includes properties like blood brain barrier, hepatotoxicity, druggability, mutagenicity and carcinogenicity. Molecular dynamics studies were performed to validate our findings.
Copyright © 2015. Published by Elsevier Inc.

Entities:  

Keywords:  ADMET; Alzheimer’s disease; Metallothionein-III; Molecular dynamics; Virtual screening

Mesh:

Substances:

Year:  2015        PMID: 25920949     DOI: 10.1016/j.ymeth.2015.04.021

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  9 in total

1.  Integrating Network Pharmacology and Molecular Docking Approaches to Decipher the Multi-Target Pharmacological Mechanism of Abrus precatorius L. Acting on Diabetes.

Authors:  Fatima Noor; Abdur Rehman; Usman Ali Ashfaq; Muhammad Hamzah Saleem; Mohammad K Okla; Abdulrahman Al-Hashimi; Hamada AbdElgawad; Sidra Aslam
Journal:  Pharmaceuticals (Basel)       Date:  2022-03-29

2.  In Ovo and In Silico Evaluation of the Anti-Angiogenic Potential of Syringin.

Authors:  Charlaine A Aventurado; Junie B Billones; Ross D Vasquez; Agnes L Castillo
Journal:  Drug Des Devel Ther       Date:  2020-11-25       Impact factor: 4.162

3.  The effect of Benzothiazolone-2 on the expression of Metallothionein-3 in modulating Alzheimer's disease.

Authors:  Sudeep Roy; Jaromir Gumulec; Akhil Kumar; Martina Raudenska; Mohd Hassan Baig; Hana Polanska; Jan Balvan; Mansi Gupta; Petr Babula; Jan Odstrčilík; Inho Choi; Ivo Provaznik; Michal Masarik
Journal:  Brain Behav       Date:  2017-08-15       Impact factor: 2.708

4.  Computer-Aided Multi-Target Management of Emergent Alzheimer's Disease.

Authors:  Hyunjo Kim; Hyunwook Han
Journal:  Bioinformation       Date:  2018-05-05

5.  Biaryl scaffold-focused virtual screening for anti-aggregatory and neuroprotective effects in Alzheimer's disease.

Authors:  Sidra Khalid; Muhammad Ammar Zahid; Hussain Ali; Yeong S Kim; Salman Khan
Journal:  BMC Neurosci       Date:  2018-11-13       Impact factor: 3.288

6.  Combined ligand and structure-based virtual screening approaches for identification of novel AChE inhibitors.

Authors:  Kader Şahİn; Serdar DurdaĞi
Journal:  Turk J Chem       Date:  2020-06-01       Impact factor: 1.239

7.  Hybrid In Silico and TR-FRET-Guided Discovery of Novel BCL-2 Inhibitors.

Authors:  Kader Sahin; Muge Didem Orhan; Timucin Avsar; Serdar Durdagi
Journal:  ACS Pharmacol Transl Sci       Date:  2021-04-15

8.  An Integrated Computational and Experimental Approach to Identifying Inhibitors for SARS-CoV-2 3CL Protease.

Authors:  Tianhua Zhai; Fangyuan Zhang; Shozeb Haider; Daniel Kraut; Zuyi Huang
Journal:  Front Mol Biosci       Date:  2021-05-17

Review 9.  Drug Design for CNS Diseases: Polypharmacological Profiling of Compounds Using Cheminformatic, 3D-QSAR and Virtual Screening Methodologies.

Authors:  Katarina Nikolic; Lazaros Mavridis; Teodora Djikic; Jelica Vucicevic; Danica Agbaba; Kemal Yelekci; John B O Mitchell
Journal:  Front Neurosci       Date:  2016-06-10       Impact factor: 4.677

  9 in total

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