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基于药效基团的高通量筛选针对上调的 FN1、MMP-9 和 APP,揭示了鼻咽癌的治疗化合物。

Pharmacophore-based screening targeted at upregulated FN1, MMP-9, APP reveals therapeutic compounds for nasopharyngeal carcinoma.

机构信息

Brearley School, 610 East 83rd Street, New York, NY 10028, USA.

Department of Microbiology, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, 117545 Singapore.

出版信息

Comput Biol Med. 2016 Feb 1;69:158-65. doi: 10.1016/j.compbiomed.2015.12.015. Epub 2015 Dec 31.

Abstract

Nasopharyngeal carcinoma (NpC) is rare in the west but common in Southeast Asia and only a few other locations. With the limited geographic incidence, it is relatively under-studied. It also has as co-determinant the Epstein-Barr virus (EBV), which may adapt to NpC therapies, so not only must a therapeutic compound be found, the discovery process must be rapid, to cope with the changing basis of the EBV. An R-based computer workbench, Mendel, was developed so biologists could quickly upload genomic data, pre-process them, and identify upregulated and downregulated genes. Mendel was used on 10 control and 31 diseased cell lines to discover 3 differentially expressed genes (DEGs) that meet thresholds on fold-changes, 3-clique membership, pathway constraints, and druggability. From the DEGs, we conducted a pharmacophore-based screening of 22,723,923 compounds using protein-protein interaction anchor-residue clusters as binding sites. Of the 4 hits, 3 passed all the ADME-Tox tests. These 3 hit compounds, 6-(4-iminiocyclohexa-2,5-dien-1-ylidene)-4-(thiazol-2-ylcarbamoyl)-1H-pyrimidine-2-thiolate, 1-[4-[2-[(3R)-3-hydroxy-2-oxo-indolin-3-yl]acetyl]phenyl]-3-phenyl-urea, and (2R)-N4-[4-(1-piperidyl)cyclohexyl]morpholine-2,4-dicarboxamide have predicted pIC50 values superior to the current drugs fluorouracil (5-FU) and taxotere, which have side effects and face EBV drug resistance.

摘要

鼻咽癌(NPC)在西方很少见,但在东南亚和其他少数几个地方很常见。由于发病地区有限,对其研究相对较少。它还存在共同决定因素——EB 病毒(EBV),EBV 可能会适应 NPC 治疗,因此不仅必须找到一种治疗化合物,而且发现过程必须迅速,以应对 EBV 不断变化的基础。因此,开发了一个基于 R 的计算机工作台 Mendel,使生物学家能够快速上传基因组数据,对其进行预处理,并识别上调和下调的基因。Mendel 用于 10 个对照和 31 个病变细胞系,发现了 3 个差异表达基因(DEG),这些基因在倍数变化、3 个团簇成员、途径约束和可成药性方面都满足阈值。从 DEG 中,我们使用蛋白质-蛋白质相互作用锚残基簇作为结合位点,对 22723923 种化合物进行基于药效团的筛选。在 4 个命中物中,有 3 个通过了所有 ADME-Tox 测试。这 3 个命中化合物,6-(4-亚氨基环己-2,5-二烯-1-基)-4-(噻唑-2-基甲酰基)-1H-嘧啶-2-硫醇盐,1-[4-[2-[(3R)-3-羟基-2-氧代-吲哚啉-3-基]乙酰基]苯基]-3-苯基-脲,和(2R)-N4-[4-(1-哌啶基)环己基]吗啉-2,4-二羧酸酰胺,其预测 pIC50 值优于当前药物氟尿嘧啶(5-FU)和多西他赛,这些药物有副作用,并面临 EBV 耐药性。

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