Literature DB >> 31202091

Identification of novel small molecules against GSK3β for Alzheimer's disease using chemoinformatics approach.

Rohit Shukla1, Nupur S Munjal1, Tiratha Raj Singh2.   

Abstract

Alzheimer's disease is a rapidly increasing neurodegenerative disease. It is a multifactorial disease and also a global threat. Several enzymes are implicated in the disease in which Glycogen Synthase Kinase 3 beta is a key enzyme to increase the disease progression by the hyperphosphorylation of the tau protein. We have used an integrative chemoinformatics and pharmacokinetics approach for the identification of novel small molecules. We have retrieved a subset from the ZINC database (n = 5,36,709) and screened against GSK3β in four steps. From here top 298 potent compounds were selected and employed for their pharmacokinetics analysis. We had seen that 29 compounds showed the key characteristics to be a novel drug candidate therefore, all these compounds were employed for redocking studies using Autodock Vina and Autodock. This analysis revealed that four compounds were showing good binding affinity. All these four compounds were employed for MDS analysis of 100 ns From here using a bunch of MD analyses we have found that out of four compounds GSK3β-ZINC21011059 and GSK3β-ZINC21011066 act as a stable protein-ligand complex. Therefore we proposed ZINC21011059 and ZINC21011066 can serve as a novel compounds against GSK3β and predicted scaffold can be used for further optimization towards the improvement of isoform selectivity, and warranting further investigations towards their in vitro and in vivo validation of the bioactivity.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; GSK-3β; MM-PBSA; Molecular docking; Molecular dynamics simulation; Neurofibrillary tangles; Principal component analysis; Tauopathies

Mesh:

Substances:

Year:  2019        PMID: 31202091     DOI: 10.1016/j.jmgm.2019.06.008

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  4 in total

1.  In Silico Molecular Docking Analysis of Karanjin against Alzheimer's and Parkinson's Diseases as a Potential Natural Lead Molecule for New Drug Design, Development and Therapy.

Authors:  Charles Gnanaraj; Mahendran Sekar; Shivkanya Fuloria; Shasank S Swain; Siew Hua Gan; Kumarappan Chidambaram; Nur Najihah Izzati Mat Rani; Tavamani Balan; Sarah Stephenie; Pei Teng Lum; Srikanth Jeyabalan; M Yasmin Begum; Vivek Chandramohan; Lakshmi Thangavelu; Vetriselvan Subramaniyan; Neeraj Kumar Fuloria
Journal:  Molecules       Date:  2022-04-29       Impact factor: 4.927

Review 2.  Recent Developments in New Therapeutic Agents against Alzheimer and Parkinson Diseases: In-Silico Approaches.

Authors:  Pedro Cruz-Vicente; Luís A Passarinha; Samuel Silvestre; Eugenia Gallardo
Journal:  Molecules       Date:  2021-04-11       Impact factor: 4.411

3.  In silico discovery of SARS-CoV-2 main protease inhibitors from the carboline and quinoline database.

Authors:  Eldar Muhtar; Mengyang Wang; Haimei Zhu
Journal:  Future Virol       Date:  2021-07-20       Impact factor: 1.831

4.  Reappraisal of trifluperidol against Nsp3 as a potential therapeutic for novel COVID-19: a molecular docking and dynamics study.

Authors:  Ajita Pandey; Mohit Sharma
Journal:  Future Virol       Date:  2021-07-13       Impact factor: 1.831

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.