In Silico Approaches for the Study of New Anti-Parkinson’s Agents-Reference-Cited by-同舟云学术

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In Silico Approaches for the Study of New Anti-Parkinson’s Agents

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:ECSOC 2023
language:
Short-container-title:

Author:

Mettai Merzaka¹^ORCID,Daoud Ismail²³,Melkemi Nadjib¹

Affiliation:

1. Group of Computational and Medicinal Chemistry, LMCE Laboratory, University of Mohamed KhiderBiskra, Biskra 07000, Algeria

2. Department of Chemistry, Faculty of Sciences, University of Mohamed Khider Biskra, Biskra 07000, Algeria

3. Department of Chemistry, Laboratory of Natural Substances and Bioactive (LASNABIO), University of Abou Bekr Belkaid, Tlemcen 13000, Algeria

Publisher

MDPI

Link

https://www.mdpi.com/2673-4583/14/1/55/pdf

Reference3 articles.

1. Molecular docking/dynamics simulations, MEP analysis, bioisosteric replacement and ADME/T prediction for identification of dual targets inhibitors of Parkinson’s disease with novel scaffold;Mettai;In Silico Pharmacol.,2023

2. Koszła, O., Stępnicki, P., Zięba, A., Grudzińska, A., Matosiuk, D., and Kaczor, A.A. (2021). Current approaches and tools used in drug development against parkinson’s disease. Biomolecules, 11.

3. Anti-Parkinson’s Evaluation of Brassica Juncea Leaf Extract and Underlying Mechanism of Its Phytochemicals;Saleem;Front. Biosci.-Landmark,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. In silico Discovery of Dual Ligands Targeting MAO-B and AA2AR from African Natural Products Using Pharmacophore Modelling, Molecular Docking, and Molecular Dynamics Simulations;Chemistry Africa;2024-09-09

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