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Full Description
Computational Approaches to Natural Products Discovery, Volume 720 provides descriptions of the latest techniques in computational methods for the study of natural products. Techniques covered are related to genome mining, natural product biosynthesis, natural product evolution, and natural product structure. Chapters in this new release cover Prediction of natural product bioactivity from BGC sequence to guide genome mining efforts, Genome mining for resistance genes to identify bioactive natural products with ARTS, Predicting lasso peptide structure with LassoPred, Predicting lanthipeptide structure with Rosetta, Using lsaBGC to investigate BGC Evolution, and an Analysis of BGC evolution with CORASON.
Contents
1. Prediction of natural product bioactivity from BGC sequence to guide genome mining efforts
Allison Walker
2. Genome mining for resistance genes to identify bioactive natural products with ARTS
Nadine Ziemert
3. Predicting lasso peptide structure with LassoPred
John Yang
4. Predicting lanthipeptide structure with Rosetta
Allison Walker
5. Using lsaBGC to investigate BGC Evolution
Mark P. Molloy
6. Analysis of BGC evolution with CORASON
Nelly Selem- Mojica
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