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Computer-aided, resistance gene-guided genome mining for proteasome and HMG-CoA reductase inhibitors

Oakley, Berl R
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Abstract
A new computer-assisted approach to resistance gene-directed genome mining is reported along with its use to identify fungal biosynthetic gene clusters that putatively produce proteasome and HMG-CoA reductase inhibitors.
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Date
2023-12-07
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Oxford University Press
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Molecular Biosciences Scholarly Works
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kuad045.pdf
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Secondary metabolism
Citation
Jenkinson CB, Podgorny AR, Zhong C, Oakley BR. Computer-aided, resistance gene-guided genome mining for proteasome and HMG-CoA reductase inhibitors. J Ind Microbiol Biotechnol. 2023 Feb 17;50(1):kuad045. doi: 10.1093/jimb/kuad045. PMID: 38061800; PMCID: PMC10734572
URI
https://hdl.handle.net/1808/35560
DOI
10.1093/jimb/kuad045
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