Computational Approaches to Natural Products Discovery
- 1st Edition, Volume 730 - June 1, 2026
- Latest edition
- Editors: David Christianson, Allison Walker, Karen N. Allen
- Language: English
Computational Approaches to Natural Products Discovery, Volume 720 provides descriptions of the latest techniques in computational methods for the study of natural products. Techni… Read more
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
Chemists and biologists working in the areas of natural product discovery, biosynthesis, or evolution.
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
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
- Edition: 1
- Latest edition
- Volume: 730
- Published: June 1, 2026
- Language: English
DC
David Christianson
After completing studies for the A.B., A.M., and Ph.D. degrees in chemistry at Harvard University, David W. Christianson joined the faculty of the University of Pennsylvania, where he is currently the Roy and Diana Vagelos Professor in Chemistry and Chemical Biology. At Penn, Christianson’s research focuses on the structural and chemical biology of the zinc-dependent histone deacetylases as well as enzymes of terpene biosynthesis. His research accomplishments have been recognized by several awards, including the Pfizer Award in Enzyme Chemistry and the Repligen Award in Chemistry of Biological Processes from the American Chemical Society, a Guggenheim Fellowship, and the Elizabeth S. and Richard M. Cashin Fellowship from the Radcliffe Institute for Advanced Study at Harvard University. Christianson is also a dedicated classroom teacher, and his accomplishments in this regard have been recognized by the Lindback Award for Distinguished Teaching at Penn and a Rhodes Trust Inspirational Educator Award from Oxford University. Christianson has also held visiting professorships in the Department of Biochemistry at Cambridge University and the Department of Chemistry and Chemical Biology at Harvard University. Christianson has served with Prof. Anna Pyle as Co-Editor-in-Chief of Methods in Enzymology since 2015.
Affiliations and expertise
University of Pennsylvania, USAKA
Karen N. Allen
Dr. Karen N. Allen works at the Department of Chemistry of the Boston University, the Metcalf Center for Science and Engineering
Affiliations and expertise
Department of Chemistry, Metcalf Center for Science and Engineering, Boston University, Boston, MA, USA