通过整合网络药理学和内科学方法理解海洋酚酸在膀胱癌治疗中对抗基质金属蛋白酶9蛋白的药理机制

IF 2.6 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2024-07-14 DOI:10.1016/j.compbiolchem.2024.108149
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摘要

膀胱癌(BC)是全球第十大常见肿瘤,发病率和复发率都很高;然而,目前的疗法存在局限性,因为并非所有患者都能从治疗中获益。因此,寻找具有抗肿瘤特性的新型活性海洋酚酸势在必行。在本研究中,我们对海洋酚酸进行了网络药理学、分子对接和分子动力学模拟(MD)等硅学研究,以确定抑制 BC 的合理途径和先导化合物。根据网络药理学分析,发现8个中枢基因(PLAU、MMP2、ITGB3、MAPK1、PTPN11、ESR1、TLR4、MMP9)与 "hsa05205:癌症中的蛋白多糖 "的富集有关,4个中枢基因(MMP1、MMP2、MAPK1、MMP9)与 "hsa05219:BC "的富集有关:BC。随后的分子对接研究表明,海洋酚酸与目标蛋白基质金属蛋白酶-9(MPP9)具有很强的结合亲和力。在这14种海洋酚酸中,菊苣酸的结合亲和力最高,为-67.1445 kcal/mol,并与MPP9蛋白活性位点上的Ala189、Gln227、Leu188、His226、Ala242、Arg249、Ala191和Gly186残基形成氢键。然后,分子动力学模拟显示,菊苣酸形成了稳定的蛋白质配体复合物,其RMSD和RMSF值分别为0.72 nm和0.53 nm。此外,还利用 PCA 方法了解了 MPP9 蛋白与 chicoric acid 结合后在构象空间的动态行为,结果表明 MPP9 蛋白具有良好的构象空间行为。此外,菊苣酸的自由结合能值为-32.62 kcal/mol,这表明它可能是一种 BC 抑制剂。总之,菊苣酸通过抑制 MPP9 蛋白表现出了潜在的抗 BC 活性。
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Comprehending the pharmacological mechanism of marine phenolic acids in bladder cancer therapy against matrix metalloproteinase 9 protein by integrated network pharmacology and in-silico approaches

Bladder cancer (BC) is the 10th most common tumour with a high incidence and recurrence rate worldwide; however, the current therapies present limitations as, regularly, not all patients benefit from treatment. Therefore, the search for new, active marine phenolic acids with anti-tumour properties is imperative. In this study, we subjected marine phenolic acids to in silico investigations such as network pharmacology, molecular docking, and molecular dynamics simulation (MD) to identify a plausible pathway and the lead compound that inhibits BC. According to the network pharmacology analysis, eight hub genes (PLAU, MMP2, ITGB3, MAPK1, PTPN11, ESR1, TLR4, MMP9) were found and linked to the enrichment of hsa05205: proteoglycans in cancer, and four hub genes (MMP1, MMP2, MAPK1, MMP9) were involved in the enrichment of hsa05219: BC. Subsequently, molecular docking studies showed that the marine phenolic acids exhibit a strong binding affinity for the target protein, matrix metalloproteinase-9 (MPP9). Among these 14 marine phenolic acids, chicoric acid showed the highest binding affinity of −67.1445 kcal/mol and formed hydrogen bonds with the residues of Ala189, Gln227, Leu188, His226, Ala242, Arg249, Ala191, and Gly186 in the active site of the MPP9 protein. Then, molecular dynamics simulation revealed that chicoric acid formed a stable protein-ligand complex with RMSD and RMSF values of 0.72 nm and 0.53 nm, respectively. Furthermore, the PCA method was employed to understand the dynamical behaviour in the conformational space of MPP9 protein bound to chicoric acid, and the results showed the good conformational space behaviour of MPP9 protein. Moreover, chicoric acid showed a free binding energy value of −32.62 kcal/mol, which indicated it could be a BC inhibitor. Overall, chicoric acid demonstrated potential anti-BC activity through MPP9 protein inhibition.

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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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