Comparative in Silico study of apigenin and its dimeric forms on PIM1 kinase in glioblastoma multiform

IF 2.6 4区 生物学 Q2 BIOLOGY
Mohammad-Sadegh Lotfi , Majid Jafari-Sabet
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Abstract

This study aimed to investigate and compare the binding affinity of apigenin and its dimeric flavonoid forms to PIM1 kinase in glioblastoma multiforme (GBM), an aggressive and lethal brain cancer. Apigenin is a natural herbal product that has demonstrated anti-cancer effects in numerous studies, both in vitro and in vivo, on various cancers. Our in silico analysis showed that PIM1 expression was significantly higher in GBM tumor tissue compared to normal brain tissue, and high PIM1 expression correlated with worse survival rates in patients with GBM. Also, our molecular docking studies showed that apigenin and its dimeric flavonoids, such as amentoflavone and hinokiflavone, can bind to the ATP-binding site of PIM1 with significant binding affinity and form various intermolecular interactions with key amino acid residues. Notably, dimeric flavonoids have a stronger binding affinity than apigenin, indicating their potential as potent PIM1 inhibitors. Our findings demonstrated the therapeutic potential of apigenin and its dimeric flavonoid forms in treating GBM by targeting PIM1 kinase. The observed inhibitory effects of PIM1 can inhibit tumor growth, induce cell cycle arrest, and promote apoptosis. However, further in vitro and in vivo studies are needed to confirm their anticancer potentials and elucidate the underlying molecular mechanisms of these compounds in GBM treatment.
芹菜素及其二聚体形式对多形性胶质母细胞瘤 PIM1 激酶的硅学比较研究
本研究旨在调查和比较芹菜素及其二聚类黄酮形式与侵袭性致命脑癌多形性胶质母细胞瘤(GBM)中 PIM1 激酶的结合亲和力。芹菜素是一种天然草药产品,在许多针对各种癌症的体外和体内研究中都显示出抗癌作用。我们的硅学分析表明,与正常脑组织相比,PIM1 在 GBM 肿瘤组织中的表达明显较高,而 PIM1 的高表达与 GBM 患者较差的生存率相关。同时,我们的分子对接研究表明,芹菜素及其二聚黄酮类化合物,如门黄酮和桧黄酮,能以显著的结合亲和力与PIM1的ATP结合位点结合,并与关键氨基酸残基形成各种分子间相互作用。值得注意的是,二聚类黄酮的结合亲和力比芹菜素更强,这表明它们有可能成为有效的 PIM1 抑制剂。我们的研究结果证明了芹菜素及其二聚类黄酮形式通过靶向PIM1激酶治疗GBM的治疗潜力。观察到的 PIM1 抑制作用可抑制肿瘤生长、诱导细胞周期停滞并促进细胞凋亡。然而,还需要进一步的体外和体内研究来证实它们的抗癌潜力,并阐明这些化合物治疗 GBM 的潜在分子机制。
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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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