Tools and strategies for discovering novel enzymes and metabolic pathways

John A. Gerlt
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引用次数: 20

Abstract

The number of entries in the sequence databases continues to increase exponentially – the UniProt database is increasing with a doubling time of ∼4 years (2% increase/month). Approximately 50% of the entries have uncertain, unknown, or incorrect function annotations because these are made by automated methods based on sequence homology. If the potential in complete genome sequences is to be realized, strategies and tools must be developed to facilitate experimental assignment of functions to uncharacterized proteins discovered in genome projects. The Enzyme Function Initiative (EFI; previously supported by U54GM093342 from the National Institutes of Health, now supported by P01GM118303) developed web tools for visualizing and analyzing (1) sequence and function space in protein families (EFI-EST) and (2) genome neighbourhoods in microbial and fungal genomes (EFI-GNT) to assist the design of experimental strategies for discovering the in vitro activities and in vivo metabolic functions of uncharacterized enzymes. The EFI developed an experimental platform for large-scale production of the solute binding proteins (SBPs) for ABC, TRAP, and TCT transport systems and their screening with a physical ligand library to identify the identities of the ligands for these transport systems. Because the genes that encode transport systems are often co-located with the genes that encode the catabolic pathways for the transported solutes, the identity of the SBP ligand together with the EFI-EST and EFI-GNT web tools can be used to discover new enzyme functions and new metabolic pathways. This approach is demonstrated with the characterization of a novel pathway for ethanolamine catabolism.

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发现新酶和代谢途径的工具和策略
序列数据库中的条目数量继续呈指数级增长——UniProt数据库以4年翻倍的速度增长(每月增长2%)。大约50%的条目具有不确定、未知或不正确的功能注释,因为这些注释是由基于序列同源性的自动化方法生成的。如果要实现全基因组序列的潜力,必须开发策略和工具来促进对基因组计划中发现的未表征蛋白质的功能的实验分配。酶功能倡议(EFI;之前由美国国立卫生研究院U54GM093342资助,现由P01GM118303资助)开发了用于可视化和分析(1)蛋白质家族序列和功能空间(EFI-EST)和(2)微生物和真菌基因组基因组邻域(EFI-GNT)的网络工具,以协助设计实验策略,发现未表征酶的体外活性和体内代谢功能。EFI开发了一个实验平台,用于ABC、TRAP和TCT运输系统的溶质结合蛋白(sbp)的大规模生产,并使用物理配体库对其进行筛选,以确定这些运输系统的配体身份。由于编码转运系统的基因通常与编码转运溶质分解代谢途径的基因位于同一位置,因此SBP配体的身份以及EFI-EST和EFI-GNT网络工具可用于发现新的酶功能和新的代谢途径。这种方法被证明与表征乙醇胺分解代谢的新途径。
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