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Leveraging structure for enzyme function prediction: methods, opportunities, and challenges.

ABSTRACT: The rapid growth of the number of protein sequences that can be inferred from sequenced genomes presents challenges for function assignment, because only a small fraction (currently <1%) has been experimentally characterized. Bioinformatics tools are commonly used to predict functions of uncharacterized proteins. Recently, there has been significant progress in using protein structures as an additional source of information to infer aspects of enzyme function, which is the focus of this review. Successful application of these approaches has led to the identification of novel metabolites, enzyme activities, and biochemical pathways. We discuss opportunities to elucidate systematically protein domains of unknown function, orphan enzyme activities, dead-end metabolites, and pathways in secondary metabolism.

SUBMITTER: Jacobson MP

PROVIDER: S-EPMC4117707 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature

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Leveraging structure for enzyme function prediction: methods, opportunities, and challenges.

Jacobson Matthew P MP Kalyanaraman Chakrapani C Zhao Suwen S Tian Boxue B

Trends in biochemical sciences 20140702 8

The rapid growth of the number of protein sequences that can be inferred from sequenced genomes presents challenges for function assignment, because only a small fraction (currently <1%) has been experimentally characterized. Bioinformatics tools are commonly used to predict functions of uncharacterized proteins. Recently, there has been significant progress in using protein structures as an additional source of information to infer aspects of enzyme function, which is the focus of this review. ...[more]

PMID: 24998033

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