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Functional Genome Mining for Metabolites Encoded by Large Gene Clusters through Heterologous Expression of a Whole-Genome Bacterial Artificial Chromosome Library in Streptomyces spp.
Genome sequencing projects in the last decade revealed numerous cryptic biosynthetic pathways for unknown secondary metabolites in microbes, revitalizing drug discovery from microbial metabolites by approaches called genome mining. In this work, we developed a heterologous expression and functional...
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| Udgivet i: | Appl Environ Microbiol |
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| Main Authors: | , , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
American Society for Microbiology
2016
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5038051/ https://ncbi.nlm.nih.gov/pubmed/27451447 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1128/AEM.01383-16 |
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