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Molecular Docking Approach to Identify Potential Anticancer Compounds from Begonia (Begonia sp)

机译:鉴定来自秋海棠的潜在抗癌化合物的分子对接方法(Begonia SP)

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Our interest to search for anticancer bioactive compounds from Benalu Batu (Begonia sp), we applied molecular docking approach to identify the natural product compounds that might be responsible for anticancer activity with a specific target and selective inhibition mechanism. Our goal is to identify the potential anticancer compounds based on virtual screening on the protein of Epidermal Growth Factor Receptor Tyrosine Kinase (EGFR-TK) as virtual inhibition target from reported chemical constituents of Begonia species. Molecular docking was performed by using open babel, SPORES, and PLANTS1.2 software under Fedora Linux operation system and validated based on Root Mean Square Deviation (RMSD) value. The 62 compounds from 9 species of Begonia were docked to the pocket of erlotinib binding site in EGFR-TK protein. The docking result showed that the compound type of alkaloid, steroidal glycoside, triterpenoid glycoside and flavonoid glycoside (polyphenol) have higher chemPLP docking score than other compounds and co-crystallized ligand erlotinib. This result suggested the high potential anticancer activity of alkaloid and glycoside type compounds from Begonia species that lead us to identify and isolate these types of compounds from Begonia sp.
机译:我们对来自Benalu Batu(Begonia SP)的抗癌生物活性化合物的兴趣,我们应用了分子对接方法来鉴定可能负责具有特异性靶和选择性抑制机制的天然产物化合物。我们的目标是基于基于虚拟筛查对表皮生长因子受体酪氨酸激酶(EGFR-TK)的虚拟筛选的潜在抗癌化合物,作为来自秋海棠物种的化学成分的虚拟抑制靶标。在Fedora Linux操作系统下使用Open Babel,Spores和Plants1.2软件进行分子对接,并基于根均方偏差(RMSD)值验证。从9种秋海棠的62种化合物对接到EGFR-TK蛋白中的Erlotinib结合位点的袋。对接结果表明,化合物类型的生物碱,甾体糖苷,三萜类糖苷和黄酮苷(多酚)具有比其他化合物和共结晶的配体Erlotinib更高的Chemplp对接得分。该结果表明,来自秋海棠种类的生物碱和糖苷类化合物的高潜在抗癌活性,导致我们鉴定和分离来自Begonia sp的这些类型的化合物。

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