Identifying essential genes in bacterial metabolic networks with machine learning methods
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 partic...
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| Main Authors: | , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
03 May 2010
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| In: |
BMC systems biology
Year: 2010, Volume: 4, Issue: 1, Pages: 1-16 |
| ISSN: | 1752-0509 |
| DOI: | 10.1186/1752-0509-4-56 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/1752-0509-4-56
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| Author Notes: | Kitiporn Plaimas, Roland Eils, Rainer König |
| Summary: | 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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| Item Description: | Gesehen am 03.05.2023 |
| Physical Description: | Online Resource |
| ISSN: | 1752-0509 |
| DOI: | 10.1186/1752-0509-4-56 |