Systems approach to refining genome annotation.

Jennifer L Reed; Trina R Patel; Keri H Chen; Andrew R Joyce; Margaret K Applebee; Christopher D Herring; Olivia T Bui; Eric M Knight; Stephen S Fong; Bernhard O Palsson

doi:10.1073/pnas.0603364103

PubMed · 17088549

Systems approach to refining genome annotation.

Jennifer L Reed·Trina R Patel·Keri H Chen·Andrew R Joyce·Margaret K Applebee·Christopher D Herring·Olivia T Bui·Eric M Knight·Stephen S Fong·Bernhard O Palsson

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Abstract

Genome-scale models of Escherichia coli K-12 MG1655 metabolism have been able to predict growth phenotypes in most, but not all, defined growth environments. Here we introduce the use of an optimization-based algorithm that predicts the missing reactions that are required to reconcile computation and experiment when they disagree. The computer-generated hypotheses for missing reactions were verified experimentally in five cases, leading to the functional assignment of eight ORFs (yjjLMN, yeaTU, dctA, idnT, and putP) with two new enzymatic activities and four transport functions. This study thus demonstrates the use of systems analysis to discover metabolic and transport functions and their genetic basis by a combination of experimental and computational approaches.

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Biological Transport Carbon Cell Proliferation Computational Biology Computer Simulation Escherichia coli Genome, Bacterial Malates Open Reading Frames Sugar Acids Thymidine Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

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Jennifer L Reed, Trina R Patel, Keri H Chen, Andrew R Joyce, Margaret K Applebee, Christopher D Herring, Olivia T Bui, Eric M Knight, Stephen S Fong, Bernhard O Palsson. 2006-11-06. Systems approach to refining genome annotation.. https://doi.org/10.1073/pnas.0603364103

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