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High-Throughput Screening and Molecular Dynamics Simulation of Natural Products for the Identification of Anticancer Agents against MCM7 Protein.

作者信息

Zhang Xin, Chen Hui, Lin Hui, Wen Ronglan, Yang Fan

机构信息

Breast Surgery Department, Affiliated Fuzhou First Hospital of Fujian Medical University, Fuzhou 350009, China.

出版信息

Appl Bionics Biomech. 2022 Sep 15;2022:8308192. doi: 10.1155/2022/8308192. eCollection 2022.


DOI:10.1155/2022/8308192
PMID:36157125
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9499818/
Abstract

Minichromosome maintenance complex component 7 (MCM7) belongs to the minichromosome maintenance family that is necessary for the initiation of eukaryotic DNA replication. Overexpression of the MCM7 protein is linked to cellular proliferation and is accountable for critical malignancy in many cancers. Mechanistically, the suppression of MCM7 greatly lowers the cellular proliferation associated with cancer. Advances in immunotherapy have revolutionized treatments for many types of cancer. To date, no effective small molecular candidate has been found that can stop the advancement of cancer produced by the MCM7 protein. Here, we present the findings of methods that used a combination of structure-assisted drug design, high-throughput virtual screening, and simulations studies to swiftly generate lead compounds against MCM7 protein. In the current study, we designed efficient compounds that may combat all emerging cancer targeting the common MCM7 protein. For this objective, a molecular docking and molecular dynamics (MD) simulation-based virtual screening of 29,000 NPASS library was carried out. As a consequence of using specific pharmacological, physiological, and ADMET criteria, four new prevailing compounds, NPA000018, NPA000111, NPA00305, and NPA014826, were successfully selected. The MD simulations were also used for a time period of 50 ns to evaluate for stability and dynamics behavior of the compounds. Eventually, compounds and were found to be highly potent against MCM7 protein. According to our results, the selected compounds may be effective in treating certain cancer subtypes, for which additional follow-up experimental validation is recommended.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e151/9499818/44695a039a4e/ABB2022-8308192.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e151/9499818/cbca5761eb43/ABB2022-8308192.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e151/9499818/82b93c4a051e/ABB2022-8308192.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e151/9499818/249295ca9209/ABB2022-8308192.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e151/9499818/39904a83e570/ABB2022-8308192.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e151/9499818/44695a039a4e/ABB2022-8308192.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e151/9499818/cbca5761eb43/ABB2022-8308192.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e151/9499818/82b93c4a051e/ABB2022-8308192.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e151/9499818/249295ca9209/ABB2022-8308192.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e151/9499818/39904a83e570/ABB2022-8308192.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e151/9499818/44695a039a4e/ABB2022-8308192.005.jpg

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High-Throughput Screening and Molecular Dynamics Simulation of Natural Products for the Identification of Anticancer Agents against MCM7 Protein.

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引用本文的文献

[1]
Targeted Screening of Curcumin Derivatives as Pancreatic Lipase Inhibitors Using Computer-Aided Drug Design.

ACS Omega. 2024-6-13

[2]
Anticancer Drug Discovery Based on Natural Products: From Computational Approaches to Clinical Studies.

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[3]
Retracted: High-Throughput Screening and Molecular Dynamics Simulation of Natural Products for the Identification of Anticancer Agents against MCM7 Protein.

Appl Bionics Biomech. 2023-12-20

本文引用的文献

[1]
A comprehensive exploration of pharmacological properties, bioactivities and inhibitory potentiality of luteolin from as anticancer drug by in-silico approach.

Struct Chem. 2022

[2]
An in silico hierarchal approach for drug candidate mining and validation of natural product inhibitors against pyrimidine biosynthesis enzyme in the antibiotic-resistant Shigella flexneri.

Infect Genet Evol. 2022-3

[3]
Identification of a Novel Therapeutic Target against XDR Typhi H58 Using Genomics Driven Approach Followed Up by Natural Products Virtual Screening.

Microorganisms. 2021-12-3

[4]
Re-purposing of hepatitis C virus FDA approved direct acting antivirals as potential SARS-CoV-2 protease inhibitors.

J Mol Struct. 2022-2-15

[5]
Stress Driven Discovery of Natural Products From Actinobacteria with Anti-Oxidant and Cytotoxic Activities Including Docking and ADMET Properties.

Int J Mol Sci. 2021-10-22

[6]
Pharmacoinformatics-based phytochemical screening for anticancer impacts of yellow sweet clover, Melilotus officinalis (Linn.) Pall.

Comput Biol Med. 2021-11

[7]
Computational Screening of Natural Compounds for Identification of Potential Anti-Cancer Agents Targeting MCM7 Protein.

Molecules. 2021-9-28

[8]
Spike protein recognizer receptor ACE2 targeted identification of potential natural antiviral drug candidates against SARS-CoV-2.

Int J Biol Macromol. 2021-11-30

[9]
Natural product scores and fingerprints extracted from artificial neural networks.

Comput Struct Biotechnol J. 2021-7-30

[10]
Pharmacoinformatics and molecular dynamics simulation-based phytochemical screening of neem plant (Azadiractha indica) against human cancer by targeting MCM7 protein.

Brief Bioinform. 2021-9-2

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