Identifying essential genes in bacterial metabolic networks with machine learning methods |
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| Authors: | Kitiporn Plaimas Roland Eils Rainer König |
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| Institution: | (1) Department of Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology, Bioquant, University of Heidelberg, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany;(2) B080 Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany |
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| Abstract: | Background Identifying essential genes in bacteria supports to identify potential drug targets and an understanding of minimal requirements
for a synthetic cell. However, experimentally assaying the essentiality of their coding genes is resource intensive and not
feasible for all bacterial organisms, in particular if they are infective. |
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