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

Oakley, Berl R2024-09-272024-09-272023-12-07Jenkinson 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: PMC10734572https://hdl.handle.net/1808/35560A 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.Copyright © The Author(s) 2023. Published by Oxford University Press on behalf of Society of Industrial Microbiology and Biotechnology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.https://creativecommons.org/licenses/by/4.0/Secondary metabolismComputer-aided, resistance gene-guided genome mining for proteasome and HMG-CoA reductase inhibitorsArticle10.1093/jimb/kuad04538061800openAccess