PMID:18652654
| Citation |
Plaimas, K, Mallm, JP, Oswald, M, Svara, F, Sourjik, V, Eils, R and König, R (2008) Machine learning based analyses on metabolic networks supports high-throughput knockout screens. BMC Syst Biol 2:67 |
|---|---|
| Abstract |
Computational identification of new drug targets is a major goal of pharmaceutical bioinformatics. |
| Links |
PubMed PMC2526078 Online version:10.1186/1752-0509-2-67 |
| Keywords |
Algorithms; Artificial Intelligence; Escherichia coli/genetics; Escherichia coli/metabolism; Gene Deletion; Genomics; Metabolic Networks and Pathways; Pharmaceutical Preparations/metabolism; RNA, Transfer/metabolism; Reproducibility of Results; Sensitivity and Specificity |
| edit table |
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In addition to what is described in the abstract, the authors experimentally demonstrated that several of the original Keio strains (alaS, coaA, coaE, glyS and hemE) contained duplications.
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