| pubmed-article:19481614 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:19481614 | lifeskim:mentions | umls-concept:C0279516 | lld:lifeskim |
| pubmed-article:19481614 | lifeskim:mentions | umls-concept:C1706062 | lld:lifeskim |
| pubmed-article:19481614 | lifeskim:mentions | umls-concept:C1880355 | lld:lifeskim |
| pubmed-article:19481614 | lifeskim:mentions | umls-concept:C1292724 | lld:lifeskim |
| pubmed-article:19481614 | pubmed:issue | 2 | lld:pubmed |
| pubmed-article:19481614 | pubmed:dateCreated | 2010-2-22 | lld:pubmed |
| pubmed-article:19481614 | pubmed:abstractText | Development of genome-scale metabolic models and various constraints-based flux analyses have enabled more sophisticated examination of metabolism. Recently reported metabolite essentiality studies are also based on the constraints-based modeling, but approaches metabolism from a metabolite-centric perspective, providing synthetic lethal combination of reactions and clues for the rational discovery of antibacterials. In this study, metabolite essentiality analysis was applied to the genome-scale metabolic models of four microorganisms: Escherichia coli, Helicobacter pylori, Mycobacterium tuberculosis and Staphylococcus aureus. Furthermore, chokepoints, metabolites surrounded by enzymes that uniquely consume and/or produce them, were also calculated based on the network properties of the above organisms. A systematic drug targeting strategy was developed by combining information from these two methods. Final drug target metabolites are presented and examined with knowledge from the literature. | lld:pubmed |
| pubmed-article:19481614 | pubmed:language | eng | lld:pubmed |
| pubmed-article:19481614 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19481614 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:19481614 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19481614 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19481614 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:19481614 | pubmed:month | Mar | lld:pubmed |
| pubmed-article:19481614 | pubmed:issn | 1096-7184 | lld:pubmed |
| pubmed-article:19481614 | pubmed:author | pubmed-author:KimHyun UkHU | lld:pubmed |
| pubmed-article:19481614 | pubmed:author | pubmed-author:LeeSang YupSY | lld:pubmed |
| pubmed-article:19481614 | pubmed:author | pubmed-author:KimTae YongTY | lld:pubmed |
| pubmed-article:19481614 | pubmed:copyrightInfo | (c) 2009 Elsevier Inc. All rights reserved. | lld:pubmed |
| pubmed-article:19481614 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:19481614 | pubmed:volume | 12 | lld:pubmed |
| pubmed-article:19481614 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:19481614 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:19481614 | pubmed:pagination | 105-11 | lld:pubmed |
| pubmed-article:19481614 | pubmed:meshHeading | pubmed-meshheading:19481614... | lld:pubmed |
| pubmed-article:19481614 | pubmed:meshHeading | pubmed-meshheading:19481614... | lld:pubmed |
| pubmed-article:19481614 | pubmed:meshHeading | pubmed-meshheading:19481614... | lld:pubmed |
| pubmed-article:19481614 | pubmed:meshHeading | pubmed-meshheading:19481614... | lld:pubmed |
| pubmed-article:19481614 | pubmed:meshHeading | pubmed-meshheading:19481614... | lld:pubmed |
| pubmed-article:19481614 | pubmed:meshHeading | pubmed-meshheading:19481614... | lld:pubmed |
| pubmed-article:19481614 | pubmed:meshHeading | pubmed-meshheading:19481614... | lld:pubmed |
| pubmed-article:19481614 | pubmed:meshHeading | pubmed-meshheading:19481614... | lld:pubmed |
| pubmed-article:19481614 | pubmed:meshHeading | pubmed-meshheading:19481614... | lld:pubmed |
| pubmed-article:19481614 | pubmed:meshHeading | pubmed-meshheading:19481614... | lld:pubmed |
| pubmed-article:19481614 | pubmed:year | 2010 | lld:pubmed |
| pubmed-article:19481614 | pubmed:articleTitle | Metabolite-centric approaches for the discovery of antibacterials using genome-scale metabolic networks. | lld:pubmed |
| pubmed-article:19481614 | pubmed:affiliation | Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering, BioProcess Engineering Research Center, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 305-701, Republic of Korea. | lld:pubmed |
| pubmed-article:19481614 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:19481614 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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