Reaction participants Show >> << Hide
- Name help_outline (S)-malate Identifier CHEBI:15589 Charge -2 Formula C4H4O5 InChIKeyhelp_outline BJEPYKJPYRNKOW-REOHCLBHSA-L SMILEShelp_outline O[C@@H](CC([O-])=O)C([O-])=O 2D coordinates Mol file for the small molecule Search links Involved in 33 reaction(s) Find molecules that contain or resemble this structure Find proteins in UniProtKB for this molecule
- Name help_outline H+ Identifier CHEBI:15378 Charge 1 Formula H InChIKeyhelp_outline GPRLSGONYQIRFK-UHFFFAOYSA-N SMILEShelp_outline [H+] 2D coordinates Mol file for the small molecule Search links Involved in 9,836 reaction(s) Find molecules that contain or resemble this structure Find proteins in UniProtKB for this molecule
Cross-references
| RHEA:29339 | RHEA:29340 | RHEA:29341 | RHEA:29342 | |
|---|---|---|---|---|
| Reaction direction help_outline | undefined | left-to-right | right-to-left | bidirectional |
| UniProtKB help_outline |
|
|||
| MetaCyc help_outline | ||||
| EcoCyc help_outline |
Publications
-
Systems approach to refining genome annotation.
Reed J.L., Patel T.R., Chen K.H., Joyce A.R., Applebee M.K., Herring C.D., Bui O.T., Knight E.M., Fong S.S., Palsson B.O.
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 ... >> More
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. << Less
Proc. Natl. Acad. Sci. U.S.A. 103:17480-17484(2006) [PubMed] [EuropePMC]
This publication is cited by 1 other entry.