Bioinformatics and the discovery of novel anti-microbial targets.

Craig Volker, James R Brown
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引用次数: 20

Abstract

Genomic research is playing a critical role in the discovery of new anti-microbial drugs. The rapid increase in bacterial and eukaryotic genome sequences allows for new and innovative ways for obtaining antimicrobial protein targets. Here, we describe a two level strategy for target identification and validation using computers (in silico). First, large scale comparative analyses of genome sequences were used to identify highly conserved genes which might be essential for in vitro and/or in vivo survival of bacterial pathogens. Lab-based experiments provided confirmation or validation of the hypothesis of in silico essentiality for over 350 individual genes. Over 200 validated, broad spectrum; yet highly specific gene targets, were identified in community infection pathogens. The second part of the target discovery strategy is an in-depth evolutionary, structural and cellular analysis of key drug targets. As an example, phylogenetic and structural analyses suggest that sequence and binding-pocket conservation in FabH (beta-ketoacyl-ACP synthase III) would allow for the development of small molecule inhibitors not only effective against a broad species spectrum of community bacterial pathogens but also as potential new therapies for tuberculosis and malaria.

生物信息学与新型抗微生物靶点的发现。
基因组研究在发现新的抗微生物药物方面发挥着关键作用。细菌和真核生物基因组序列的快速增加为获得抗菌蛋白靶点提供了新的和创新的方法。在这里,我们描述了使用计算机(在计算机上)进行目标识别和验证的两级策略。首先,利用基因组序列的大规模比较分析来鉴定高度保守的基因,这些基因可能对细菌病原体的体外和/或体内生存至关重要。以实验室为基础的实验证实或验证了350多个个体基因的计算机必要性假设。超过200个经过验证的广谱;然而,在社区感染病原体中发现了高度特异性的基因靶点。靶点发现策略的第二部分是对关键药物靶点进行深入的进化、结构和细胞分析。例如,系统发育和结构分析表明,FabH (β -酮酰基- acp合成酶III)的序列和结合袋保护将允许开发小分子抑制剂,不仅对广泛的群落细菌病原体有效,而且对结核病和疟疾也有潜在的新疗法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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