{"title":"Comparative in Silico study of apigenin and its dimeric forms on PIM1 kinase in glioblastoma multiform","authors":"Mohammad-Sadegh Lotfi , Majid Jafari-Sabet","doi":"10.1016/j.compbiolchem.2024.108253","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":10616,"journal":{"name":"Computational Biology and Chemistry","volume":"113 ","pages":"Article 108253"},"PeriodicalIF":2.6000,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Biology and Chemistry","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S147692712400241X","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
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.
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.