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Prediction of natural product bioactivity from BGC sequence to guide genome mining efforts.

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Bibliographic Details
Title: Prediction of natural product bioactivity from BGC sequence to guide genome mining efforts.
Authors: Oyedele AS; Department of Chemistry, Vanderbilt University, Nashville, TN, United States., Clements AE; Department of Chemistry, Vanderbilt University, Nashville, TN, United States., Cheng Z; Department of Chemistry, Vanderbilt University, Nashville, TN, United States., Ancajas CMF; Department of Chemistry, Vanderbilt University, Nashville, TN, United States., Russ A; Department of Chemistry, Vanderbilt University, Nashville, TN, United States., Davis HL; Department of Chemistry, Vanderbilt University, Nashville, TN, United States., Venkat J; Department of Chemistry, Vanderbilt University, Nashville, TN, United States., Walker AS; Department of Chemistry, Vanderbilt University, Nashville, TN, United States; Department of Biological Sciences, Vanderbilt University, Nashville, TN, United States. Electronic address: allison.s.walker@vanderbilt.edu.
Source: Methods in enzymology [Methods Enzymol] 2026; Vol. 730, pp. 1-34. Date of Electronic Publication: 2025 Oct 27.
Publication Type: Journal Article
Journal Info: Publisher: Academic Press Country of Publication: United States NLM ID: 0212271 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-7988 (Electronic) Linking ISSN: 00766879 NLM ISO Abbreviation: Methods Enzymol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1557-7988
DOI:10.1016/bs.mie.2025.09.013