In Silico Molecular Docking Studies and Pharmacokinetic Property Analysis of Phytocompounds from Camellia sinensis Targeting MCM2 Protein as Anti-Cancer Agent

Minichromosome Maintenance Complex Component 2 (MCM2) is a replicative helicase system subunit that is a major prognostic and proliferation marker for gastric, oral, breast, and colon cancers. During the replication procedure, it combines with histones named H3 and H4 by their N-terminal domain to help the assembly and disassembly of nucleosomes on DNA. MCM2 inhibition slows tumor cell growth and causes G0/G1 phase arrest, but it has little effect on cell apoptosis. Due to its complex structural composition and crucial involvement in DNA replication and regulation interface, MCM2 is a potential target for drug discovery. Traditional herbs are gradually gaining popularity. Beneficial functions of phytochemicals include low toxicity, low cost, availability, antioxidant activity, antibacterial action, regulation of detoxification enzymes, regulation of hormones, etc. The signaling pathway of many diseases alters simultaneously, and mutations happen in new ways, due to these reasons, discovering new drug candidates has become badly needed. Through Molecular docking study of compounds, pharmacokinetic property analysis, quantitative structure-activity relationship analysis, and drug-protein interaction against MCM2 protein, this work proposes phytochemical screening of the green tea plant (Camellia sinensis) to select the most potential drug compound to inhibit MCM2 protein. Dhaka Univ. J. Sci. 73(1): 67-76, 2025 (January)

Authors

Institutions

Publication Details

Journal
Dhaka University Journal of Science
Published
2025-04-30
DOI
https://doi.org/10.3329/dujs.v73i1.81287
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In Silico Molecular Docking Studies and Pharmacokinetic Property Analysis of Phytocompounds from Camellia sinensis Targeting MCM2 Protein as Anti-Cancer Agent

Tanima Roy, Md. Ibrahim Al Imran, Safia Aktar Dipa, Ahmed Imtiaz Zamee et al.
Dhaka University Journal of Science
Computational Drug Discovery Methods
article

In Silico Molecular Docking Studies and Pharmacokinetic Property Analysis of Phytocompounds from Camellia sinensis Targeting MCM2 Protein as Anti-Cancer Agent

Tanima Roy, Md. Ibrahim Al Imran, Safia Aktar Dipa, Ahmed Imtiaz Zamee, Tofazzal Hossen Milon
article en

Abstract

Minichromosome Maintenance Complex Component 2 (MCM2) is a replicative helicase system subunit that is a major prognostic and proliferation marker for gastric, oral, breast, and colon cancers. During the replication procedure, it combines with histones named H3 and H4 by their N-terminal domain to help the assembly and disassembly of nucleosomes on DNA. MCM2 inhibition slows tumor cell growth and causes G0/G1 phase arrest, but it has little effect on cell apoptosis. Due to its complex structural composition and crucial involvement in DNA replication and regulation interface, MCM2 is a potential target for drug discovery. Traditional herbs are gradually gaining popularity. Beneficial functions of phytochemicals include low toxicity, low cost, availability, antioxidant activity, antibacterial action, regulation of detoxification enzymes, regulation of hormones, etc. The signaling pathway of many diseases alters simultaneously, and mutations happen in new ways, due to these reasons, discovering new drug candidates has become badly needed. Through Molecular docking study of compounds, pharmacokinetic property analysis, quantitative structure-activity relationship analysis, and drug-protein interaction against MCM2 protein, this work proposes phytochemical screening of the green tea plant (Camellia sinensis) to select the most potential drug compound to inhibit MCM2 protein. Dhaka Univ. J. Sci. 73(1): 67-76, 2025 (January)

Dhaka University Journal of ScienceVol. 73(1)
Gopalganj Science and Technology University (BD), Bangladesh University of Engineering and Technology (BD), University of Dhaka (BD), Dhaka University of Engineering & Technology (BD), Bangladesh University of Business and Technology (BD)
Openalex Percentile: Top 90%
Computational Drug Discovery Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.