期刊
BRIEFINGS IN BIOINFORMATICS
卷 22, 期 5, 页码 -出版社
OXFORD UNIV PRESS
DOI: 10.1093/bib/bbab098
关键词
Active site; in silico screening; Azadirachta indica; MCM7; virtual screening; ADMET; MD simulation
资金
- BioSol Center (Biological Solution Centre)
MCM7 protein is crucial for eukaryotic DNA replication initiation, with overexpression linked to aggressive malignancy in various cancers. This study aims to identify natural drug candidates targeting MCM7 for cancer treatment. Through in silico drug design approaches including molecular docking, ADME, and toxicity analysis, four potential compounds with high binding affinities and favorable properties have been identified.
Minichromosome maintenance complex component 7 (MCM7) belongs to the minichromosome maintenance family that is important for the initiation of eukaryotic DNA replication. Overexpression of the MCM7 protein is relative to cellular proliferation and responsible for aggressive malignancy in various cancers. Mechanistically, inhibition of MCM7 significantly reduces the cellular proliferation associated with cancer. To date, no effective small molecular candidate has been identified that can block the progression of cancer induced by the MCM7 protein. Therefore, the study has been designed to identify small molecular-like natural drug candidates against aggressive malignancy associated with various cancers by targeting MCM7 protein. To identify potential compounds against the targeted protein a comprehensive in silico drug design including molecular docking, ADME (Absorption, Distribution, Metabolism and Excretion), toxicity, and molecular dynamics (MD) simulation approaches has been applied. Seventy phytochemicals isolated from the neem tree (Azadiractha indica) were retrieved and screened against MCM7 protein by using the molecular docking simulation method, where the top four compounds have been chosen for further evaluation based on their binding affinities. Analysis of ADME and toxicity properties reveals the efficacy and safety of the selected four compounds. To validate the stability of the protein-ligand complex structure MD simulations approach has also been performed to the protein-ligand complex structure, which confirmed the stability of the selected three compounds including CAS ID:105377-74-0, CID:12308716 and CID:10505484 to the binding site of the protein. In the study, a comprehensive data screening process has performed based on the docking, ADMET properties, and MD simulation approaches, which found a good value of the selected four compounds against the targeted MCM7 protein and indicates as a promising and effective human anticancer agent.
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