Target screening and optimization of candidate compounds for breast cancer treatment using bioinformatics and computational chemistry approaches
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| Gepubliceerd in: | Frontiers in Pharmacology vol. 16 (May 2025), p. 1467504-1467518 |
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| 001 | 3279124325 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1663-9812 | ||
| 024 | 7 | |a 1467504 |2 doi | |
| 035 | |a 3279124325 | ||
| 045 | 2 | |b d20250501 |b d20250531 | |
| 100 | 1 | |a Xu, Jian |u Shaoxing People’s Hospital, Shaoxing, China | |
| 245 | 1 | |a Target screening and optimization of candidate compounds for breast cancer treatment using bioinformatics and computational chemistry approaches | |
| 260 | |b Frontiers Media SA |c May 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a ObjectivesThis study aimed to identify critical therapeutic targets and design potent antitumor compounds for breast cancer treatment through an integrated bioinformatics and computational chemistry approach.MethodsWe conducted initial screening and target intersection analysis to identify potential protein targets, highlighting the adenosine A1 receptor as a key candidate. Molecular docking and molecular dynamics (MD) simulations were performed to evaluate the binding stability between selected compounds and the human adenosine A1 receptor-Gi2 protein complex (PDB ID: 7LD3). A pharmacophore model was constructed based on binding information to guide the virtual screening of additional compounds with activity. Furthermore, we designed and synthesized a novel molecule based on this model, followed by in vitro biological evaluation using MCF-7 breast cancer cells.ResultsCompound 5 exhibited stable binding to the adenosine A1 receptor, as confirmed by docking and MD simulations. Pharmacophore-based screening identified compounds 6–9 with strong binding affinities. These findings guided Molecule 10, which was rationally designed and synthesized, showing potent antitumor activity against MCF-7 cells with an IC50 value of 0.032 µM, significantly outperforming the positive control 5-FU (IC50 = 0.45 µM).ConclusionThis study advances the understanding of molecular interactions in breast cancer therapy and demonstrates the potential of Molecule 10 as a highly effective therapeutic candidate. Integrating reverse drug screening, molecular modelling, and in vitro validation provides a robust platform for future drug discovery in breast cancer treatment. | |
| 653 | |a Kidney cancer | ||
| 653 | |a Metastasis | ||
| 653 | |a Hydrogen bonds | ||
| 653 | |a Bioinformatics | ||
| 653 | |a Cancer therapies | ||
| 653 | |a Computational chemistry | ||
| 653 | |a Gi2 protein | ||
| 653 | |a Therapeutic targets | ||
| 653 | |a Antitumor activity | ||
| 653 | |a Drug development | ||
| 653 | |a Molecular modelling | ||
| 653 | |a Breast cancer | ||
| 653 | |a Computer applications | ||
| 653 | |a Localization | ||
| 653 | |a Research & development--R&D | ||
| 653 | |a Estrogens | ||
| 653 | |a Kinases | ||
| 653 | |a Proteins | ||
| 653 | |a Simulation | ||
| 653 | |a Cancer research | ||
| 653 | |a Medical research | ||
| 653 | |a Ligands | ||
| 653 | |a Drug screening | ||
| 653 | |a Antitumor agents | ||
| 700 | 1 | |a Li, Xue |u School of Medicine and Pharmacy, Wuhan University of Bioengineering, Wuhan, China | |
| 700 | 1 | |a Jia, Yiduo |u School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan, China, Hubei Key Laboratory of Natural Medicinal Chemistry and Resource Evaluation, School of Pharmacy, Huazhong University of Science and Technology, Wuhan, China | |
| 773 | 0 | |t Frontiers in Pharmacology |g vol. 16 (May 2025), p. 1467504-1467518 | |
| 786 | 0 | |d ProQuest |t Biological Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3279124325/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3279124325/fulltext/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3279124325/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |