Reprint
New Approaches for the Discovery of Pharmacologically-Active Natural Compounds
Edited by
July 2019
158 pages
- ISBN978-3-03921-104-3 (Paperback)
- ISBN978-3-03921-105-0 (PDF)
This is a Reprint of the Special Issue New Approaches for the Discovery of Pharmacologically-Active Natural Compounds that was published in
Biology & Life Sciences
Medicine & Pharmacology
Summary
A major source of active compounds, natural products from different sources supply a large variety of molecules that have been approved for clinical use or used as the starting points of optimization programs. This book features nine papers (eight full articles and one review paper) written by more than 45 scientists from around the world. These papers illustrate the development and application of a broad range of computational and experimental techniques applied to natural product research. On behalf of the contributors to the book, our hope is that the research presented here contributes to advancements in the field, and encourages multidisciplinary teams, young scientists, and students to further advance in the discovery of pharmacologically-active natural compounds
Format
- Paperback
License and Copyright
© 2019 by the authors; CC BY-NC-ND license
Keywords
docking; epigenetics; epi-informatics; molecular interactions; molecular dynamics; natural products; flavonoids; marine diterpenoid; proteasome inhibitors; immunoproteasome; molecular docking; bioinsecticides; structure–activity relationship; phenylethanoid glycosides; Calceolaria; multitarget; cyclodextrin glycosyltransferase; cyclodextrin glycosyltransferase (CGTase); ginsenoside F1; α-glucosyl ginsenoside F1; squalene; alpine grassland; Py-GC/MS; soil microorganism; Tibetan Plateau; chemical space; chemical data set; chemoinformatics; consensus diversity plot; drug discovery; molecular diversity; visualization; natural products; natural product-likeness; machine learning; random forest; classification; similarity maps; visualization; molecular fingerprints; web service; curcumin; nanoparticles; inflammation; protein aggregation; brain diseases; Alzheimer’s disease; Parkinson’s disease; flavonoids; systematic review; cholestasis; n/a