Pan-reactome analysis of 242 Streptomyces strains using genome-scale metabolic models
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Byungtae | ko |
| dc.contributor.author | Kim, Hyun Uk | ko |
| dc.date.accessioned | 2022-12-09T03:01:05Z | - |
| dc.date.available | 2022-12-09T03:01:05Z | - |
| dc.date.created | 2022-12-01 | - |
| dc.date.issued | 2021-09-28 | - |
| dc.identifier.citation | Artificial Intelligence for Natural Product Drug Discovery | - |
| dc.identifier.uri | http://hdl.handle.net/10203/302258 | - |
| dc.language | English | - |
| dc.publisher | Lorentz Center | - |
| dc.title | Pan-reactome analysis of 242 Streptomyces strains using genome-scale metabolic models | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | Artificial Intelligence for Natural Product Drug Discovery | - |
| dc.identifier.conferencecountry | NE | - |
| dc.identifier.conferencelocation | Lorentz Center | - |
| dc.contributor.localauthor | Kim, Hyun Uk | - |
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