Literature DB >> 28810194

Towards detecting regulatory protein-metabolite interactions.

Maren Diether1, Uwe Sauer2.   

Abstract

New mapping approaches have greatly expanded our view on the cellular landscape of protein-metabolite interactions. These methods either identify proteins interacting with a selected metabolite or vice versa. By reviewing recent developments, we found that comprehensive mapping of the protein-metabolite interaction space can be achieved eventually using existing methods, amongst which proteomics techniques to assess cell wide protein property changes in response to metabolite treatment currently offer the highest potential. Since we expect major advances in mapping protein-metabolite interactions in the near future, the challenge shifts to the identification of interaction functionality, for which currently only few specialized methods are available.
Copyright © 2017 Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28810194     DOI: 10.1016/j.mib.2017.07.006

Source DB:  PubMed          Journal:  Curr Opin Microbiol        ISSN: 1369-5274            Impact factor:   7.934


  11 in total

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Review 6.  Identification of bioactive metabolites using activity metabolomics.

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Journal:  J Exp Bot       Date:  2019-09-24       Impact factor: 6.992

8.  Compartment and hub definitions tune metabolic networks for metabolomic interpretations.

Authors:  T Cameron Waller; Jordan A Berg; Alexander Lex; Brian E Chapman; Jared Rutter
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9.  SCOUR: a stepwise machine learning framework for predicting metabolite-dependent regulatory interactions.

Authors:  Justin Y Lee; Britney Nguyen; Carlos Orosco; Mark P Styczynski
Journal:  BMC Bioinformatics       Date:  2021-07-08       Impact factor: 3.169

Review 10.  The Regulatory Role of Key Metabolites in the Control of Cell Signaling.

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Journal:  Biomolecules       Date:  2020-06-05
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