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ANTI-INFECTIOUS DRUG REPURPOSING USING AN INTEGRATED CHEMICAL GENOMICS AND STRUCTURAL SYSTEMS BIOLOGY APPROACH

机译:使用综合化学基因组学和结构系统生物学方法进行抗传染性药物重新施用

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The emergence of multi-drug and extensive drug resistance of microbes to antibiotics poses a great threat to human health. Although drug re purposing is a prom ising sol ution for accele rating t he drug development process, its application to anti-infectious drug discovery is lim ited by the scope of existing phenotype-, ligand-, or target-based methods. In this paper we introduce a new computational strategy to determine the genome-wide molecular targets of bioactive compounds in both human and bacterial genomes. Our method is based on the use of a novel algorithm, ligand E nrichment of Net work T opological Sim ilarity (1 igENTS), t o m ap t he che mical uni verse t o i ts global pharmacological space .1 igENTS outperforms t he st ate-of-the-art al gorithms i n i dentifying n ovel drug-target relationships. Furthermore, we i ntegrate ligENTS with o ur st ructural sy stems bi ology platform t o i dentify drug repurposing opportunities via target similarity profiling. Using this integrated strategy, we have identified novel P. falciparum targets of drug-like active compounds from the Malaria Box, and suggest that a number of approved drugs may be active agai nst m alaria. T his study dem onstrates the po tential of an in tegrative ch emical g enomics an d structural systems biology approach to drug repurposing.
机译:微生物与抗生素的多药和广泛耐药的出现对人类健康构成了很大的威胁。虽然药物重新用途是舞会升级的Accele Rating T H H H HE溶胶溶液,但其对抗传染性药物发现的应用是由现有的表型,配体或基于目标的方法的范围来利用。本文介绍了一种新的计算策略,以确定人和细菌基因组中的生物活性化合物的基因组分子靶标。我们的方法是基于使用一种新型算法,配体E NRICHENT的网上工作TOMOLOGY SIMILITY(1 IGENT),汤姆AP T HE Che Mical Uni Verse TS全球药理学空间.1 IGENTS优于St ETE - 艺术Al Gorithms Ini Dentify N Ovel药物 - 目标关系。此外,我们将Ligate与O UR ST Roctupt Sy Stems进行统治,我通过目标相似性分析敦促药物修复机会。使用这种综合策略,我们已经鉴定了来自疟疾盒的药物样活性化合物的新型P. falciparum靶标,并表明许多批准的药物可能是活性Agai Nst M Alaria。他的研究在集中的CH雄性G enomics中的曲线态在统一性中的DEB态度下载D结构系统生物学方法。

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