Machine learning-assisted structure annotation of natural products based on MS and NMR data

Natural Product Reports (NPR) is a critical review journal that stimulates progress in all areas of natural products research, including isolation, structural and stereochemical determination, biosynthesis, biological activity and synthesis. The scope of the journal is very broad, and many reviews discuss the role of natural products in the wider bioinorganic, bioorganic and chemical biology communities. Areas covered include the following: Enzymology Nucleic acids Genetics Chemical ecology Carbohydrates Primary and secondary metabolism Analytical techniques NPR articles are designed to give an interesting insight into the topic, focusing on the key developments that have shaped a field. Authors are encouraged to include their own perspective on developments, trends and future directions. Articles providing a very comprehensive overview or exhaustive list of previous literature and lacking critical insight are generally not suitable for publication in NPR. Meta-analyses of previously published data using existing tools can be included, however NPR articles should not include any new methods or data.