筛选和选择hispagabridin B作为结肠癌治疗的先导化合物:计算机方法

Q4 Medicine
Sankar Malayandi, S. Marimuthu, Arul Jayanthi Antonisamy
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引用次数: 0

摘要

导语:根据GLOBOCAN 2020的一项调查报告,结肠癌是癌症相关死亡的第三大原因。虽然一些常见的情况,包括家族史和个人健康状况,被报道为结肠癌的原因,但结直肠癌的真正原因尚不清楚。化学药物如5-氟尿嘧啶结合放射治疗可以帮助缩小肿瘤大小。外科手术也可以在早期阶段进行,同时给药。然而,现有的治疗策略对健康细胞同样有毒,而且通常是非特异性的。化学药物的副作用是非常严重的。因此,天然植物化学物质可能是治疗癌症的更好选择。材料与方法:从200种不同的植物中筛选了大量的植物化学物质。PubChem、Drugbank、ChemSpider、emmolecules和Chembank等数据库用于提取植物化学物质的结构,包括类黄酮、生物碱、肽、类固醇或任何其他有机化合物,并用作配体。基于KEGG通路数据库和Cytoscape网络分析的输出,从蛋白质数据库中提取参与结肠癌通路的重要蛋白质。使用AutoDockPyRx Python处方-0.8使用基于结构的药物发现方法预测可能的配体及其靶标。结果与讨论:Hispaglabridin B在低结合能下与最大数量的靶蛋白相互作用。瑞士靶标预测用于寻找所选配体的其他有效靶标。结合口袋分析表明,hispaglabridin B与已知的靶蛋白抑制剂结合在相同的位置。参与蛋白质和hispaglabridin B相互作用的氨基酸也进行了研究。极性、疏水性、氢键和电荷基相互作用在hispaglabridin B和它的靶标之间占主导地位。采用PASS在线检测其生物潜能,采用DruLiTo和Swiss ADME分别检测其药物似然性和ADME特性。采用preADMET法对其毒性进行了分析,发现其是安全的。药物库中未发现hispaglabidin B,推测其结构为异黄酮。异黄酮醇是含有羟基化异黄酮骨架和芳香杂多环分子框架的多环化合物。从文献中发现,甘草苷B最丰富的来源是glycyrhiza glabra。结论:hispaglabridin B可能是开发有效结肠癌药物的潜在先导物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Screening and Selection of Hispaglabridin B as a Lead Compound in Colon Cancer Treatment: In Silico Approach
Introduction: Colon cancer is the third largest cause of cancer-related death according to a survey report by GLOBOCAN 2020. Though several common conditions, including family history and personal health care, are reported as the causes of colon cancer, the real cause of colorectal cancer is unrevealed. Treatment with chemical drugs like 5-fluorouracil in combination with radiation therapy can help to shrink tumor size. Surgical procedures can also be performed at the early stage along with the administration of drugs. However, the available treatment strategies are equally toxic to healthy cells and, in general, are nonspecific. The side effects of chemical drug administration are very devastating. Hence, natural phytochemicals can be a better choice for treating cancer. Materials and methods: In this article, in silico screening of plenty of phytochemicals from 200 different plants was performed. Databases such as PubChem, Drugbank, ChemSpider, eMolecules, and Chembank were used for extracting structures of phytochemicals including flavonoids, alkaloids, peptides, steroids, or any other organic compounds, and used as ligands. Vital proteins involved in colon cancer pathways are extracted from the protein data bank based on the output from the KEGG pathway database and Cytoscape network analysis. AutoDockPyRx Python prescription-0.8 was used to predict the possible ligands and their targets using a structure-based drug discovery approach. Results and Discussion: Hispaglabridin B showed interaction with a maximum number of target proteins at low binding energies. Swiss target prediction was used to find other potent targets for the selected ligand. The binding pocket analysis showed that hispaglabridin B binds to the same position as the known inhibitor of the target protein. The amino acids involved in the protein and hispaglabridin B interaction were also studied. Polar, hydrophobic, hydrogen bond, and charge-based interactions were dominant between hispaglabridin B and its targets. PASS online was used to check the biological potential of hispaglabridin B. The drug likeliness properties and ADME characteristics of hispaglabridin B were checked using DruLiTo and Swiss ADME, respectively. The toxicity of hispaglabridin B was analyzed using preADMET and was found safe. Hispaglabridin B was not available in the drug bank, and its structure was predicted to be an isoflavonoid. Isoflavanols are polycyclic compounds containing a hydroxylated isoflavone skeleton and an aromatic hetero-polycyclic molecular framework. From the literature, the most abundant source of hispaglabridin B was found to be Glycyrrhiza glabra.Conclusion: Hence, it is concluded that hispaglabridin B could be a potential lead for developing an effective colon cancer drug.
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来源期刊
CiteScore
0.80
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0.00%
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1
期刊介绍: The International Journal of Nutrition, Pharmacology, Neurological Diseases (IJNPND) is an international, open access, peer reviewed journal which covers all fields related to nutrition, pharmacology, neurological diseases. IJNPND was started by Dr. Mohamed Essa based on his personal interest in Science in 2009. This journal doesn’t link with any society or any association. The co-editor-in chiefs of IJNPND (Prof. Gilles J. Guillemin, Dr. Abdur Rahman and Prof. Ross grant) and editorial board members are well known figures in the fields of Nutrition, pharmacology, and neuroscience. First, the journal was started as two issues per year, then it was changed into 3 issues per year and since 2013, it publishes 4 issues per year till now. This shows the slow and steady growth of this journal. To support the reviewers and editorial board members, IJNPND offers awards to the people who does more reviews within one year. The International Journal of Nutrition, Pharmacology, Neurological Diseases (IJNPND) is published Quarterly. IJNPND has three main sections, such as nutrition, pharmacology, and neurological diseases. IJNPND publishes Research Papers, Review Articles, Commentaries, case reports, brief communications and Correspondence in all three sections. Reviews and Commentaries are normally commissioned by the journal, but consideration will be given to unsolicited contributions. International Journal of Nutrition, Pharmacology, Neurological Diseases is included in the UGC-India Approved list of journals.
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