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. - Provides descriptions of computational methods for natural product discovery by experts in the field- Discusses challenges in natural product discovery- Includes methods that address multiple steps in the natural product discovery pipeline

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. - Provides descriptions of computational methods for natural product discovery by experts in the field- Discusses challenges in natural product discovery- Includes methods that address multiple steps in the natural product discovery pipeline

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. - Provides descriptions of computational methods for natural product discovery by experts in the field- Discusses challenges in natural product discovery- Includes methods that address multiple steps in the natural product discovery pipeline