2012
DOI: 10.1038/nchembio.1063
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Global probabilistic annotation of metabolic networks enables enzyme discovery

Abstract: Annotation of organism-specific metabolic networks is one of the main challenges of systems biology. Importantly, due to inherent uncertainty of computational annotations, predictions of biochemical function need to be treated probabilistically. We present a global probabilistic approach to annotate genome-scale metabolic networks that integrates sequence homology and context-based correlations under a single principled framework. The developed method for Global Biochemical reconstruction Using Sampling (GLOBU… Show more

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Cited by 56 publications
(58 citation statements)
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“…The transcription of the sps operon by late mother cell transcription factors, such as K and GerE, is consistent with the idea that the operon encodes enzymes involved in the synthesis of polysaccharides present on the outer surface of the spore (11). This idea also is supported by a bioinformatic analysis and experimental data that identify the distal four genes of the operon, spsIJKL, as being involved in the biosynthetic pathway leading to dTDP-L-rhamnose from D-glucose 1-phosphate and dTTP (12).…”
supporting
confidence: 66%
“…The transcription of the sps operon by late mother cell transcription factors, such as K and GerE, is consistent with the idea that the operon encodes enzymes involved in the synthesis of polysaccharides present on the outer surface of the spore (11). This idea also is supported by a bioinformatic analysis and experimental data that identify the distal four genes of the operon, spsIJKL, as being involved in the biosynthetic pathway leading to dTDP-L-rhamnose from D-glucose 1-phosphate and dTTP (12).…”
supporting
confidence: 66%
“…Several coat and crust proteins have been identified and characterized, but little is known about the identities of the sugars present on the spore surface. It is, however, known that their presence on the spore surface modulates the relative hydrophobicity of the spore (7)(8)(9).…”
mentioning
confidence: 99%
“…These annotations enable the exploration of metabolic potential of an organism and its cellular physiology; the creation of genomescale metabolic models, which are useful for metabolic engineering and systems analysis; and the identification of drug targets. In this issue, Plata et al 1 compose an approach that assigns annotations-with probabilities -to gene-scale metabolic networks with high precision, validating a select number of predictions experimentally.…”
Section: News and Viewsmentioning
confidence: 98%