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Literature DB >> 21081510

iMAT: an integrative metabolic analysis tool.

Abstract

SUMMARY: iMAT is an Integrative Metabolic Analysis Tool, enabling the integration of transcriptomic and proteomic data with genome-scale metabolic network models to predict enzymes' metabolic flux, based on the method previously described by Shlomi et al. The prediction of metabolic fluxes based on high-throughput molecular data sources could help to advance our understanding of cellular metabolism, since current experimental approaches are limited to measuring fluxes through merely a few dozen enzymes.
AVAILABILITY AND IMPLEMENTATION: http://imat.cs.tau.ac.il/.

Mesh：

Year: 2010 PMID： 21081510 DOI： 10.1093/bioinformatics/btq602

Source DB: PubMed Journal: Bioinformatics ISSN： 1367-4803 Impact factor: 6.937

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Cited

102 in total

iMAT: an integrative metabolic analysis tool.

1. Inference and Prediction of Metabolic Network Fluxes.

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3. A Systematic Evaluation of Methods for Tailoring Genome-Scale Metabolic Models.

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Review 6. Mechanistic systems modeling to guide drug discovery and development.

Review 7. Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

8. A refined genome-scale reconstruction of Chlamydomonas metabolism provides a platform for systems-level analyses.

9. A Delicate Balance between Bacterial Iron and Reactive Oxygen Species Supports Optimal C. elegans Development.

Review 10. Network reduction methods for genome-scale metabolic models.