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基于波函数相关性质的研究并针对其潜在的抗病毒活性进行筛选,对图卡替尼的结构和反应性进行建模。

Modelling the structural and reactivity landscapes of tucatinib with special reference to its wavefunction-dependent properties and screening for potential antiviral activity.

机构信息

Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.

Department of Chemistry, St. Berchmans College (Autonomous), Changanassery, Kerala, India.

出版信息

J Mol Model. 2020 Nov 16;26(12):341. doi: 10.1007/s00894-020-04603-1.

DOI:10.1007/s00894-020-04603-1
PMID:33200284
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7668570/
Abstract

HER-2 type breast cancer is one of the most aggressive malignancies found in women. Tucatinib is recently developed and approved as a potential medicine to fight this disease. In this manuscript, we present the gross structural features of this compound and its reactivity and wave function properties using computational simulations. Density functional theory was used to optimise the ground state geometry of the molecule and molecular docking was used to predict biological activity. As the electrons interact with electromagnetic radiations, electronic excitations between different energy levels are analysed in detail using time-dependent density functional theory. Various intermolecular and intermolecular interactions are analysed and reaction sites for attacking electrophiles and nucleophiles identified. Information entropy calculations show that the compound is inherently stable. Docking with COVID-19 proteins show docking score of - 9.42, - 8.93, - 8.45 and - 8.32 kcal/mol respectively indicating high interaction between the drug and proteins. Hence, this is an ideal candidate to study repurposing of existing drugs to combat the pandemic.

摘要

人表皮生长因子受体 2 型乳腺癌是女性中最具侵袭性的恶性肿瘤之一。曲妥珠单抗是最近开发并批准的一种治疗这种疾病的潜在药物。在本文中,我们使用计算模拟展示了该化合物的宏观结构特征及其反应性和波函数性质。密度泛函理论用于优化分子的基态几何形状,分子对接用于预测生物活性。当电子与电磁辐射相互作用时,使用含时密度泛函理论详细分析不同能级之间的电子激发。分析了各种分子间和分子内相互作用,并确定了攻击亲电试剂和亲核试剂的反应位点。信息熵计算表明该化合物具有内在稳定性。与 COVID-19 蛋白的对接显示对接评分分别为-9.42、-8.93、-8.45 和-8.32 kcal/mol,表明药物与蛋白质之间具有高度相互作用。因此,这是研究现有药物重新用于对抗大流行的理想候选药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/849b/7668570/d4e5a3c2b36b/894_2020_4603_Fig12_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/849b/7668570/d4e5a3c2b36b/894_2020_4603_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/849b/7668570/8e89420d63aa/894_2020_4603_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/849b/7668570/dd6db21f49a6/894_2020_4603_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/849b/7668570/d4d817bd8769/894_2020_4603_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/849b/7668570/1564cfa0d051/894_2020_4603_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/849b/7668570/a867edfcb07e/894_2020_4603_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/849b/7668570/781c9b13be4d/894_2020_4603_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/849b/7668570/c1ba15f56f72/894_2020_4603_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/849b/7668570/32ac4512c01a/894_2020_4603_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/849b/7668570/e5da13f2f58b/894_2020_4603_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/849b/7668570/36a94197a01b/894_2020_4603_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/849b/7668570/d13b5e4ae850/894_2020_4603_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/849b/7668570/d4e5a3c2b36b/894_2020_4603_Fig12_HTML.jpg

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