Abstract
Natural products undisputedly continue to play a dominant role in drug discovery. The application of chemoinformatics tools has led to outstanding findings in natural product research. This chapter provides a detailed description of challenges scientists have to face when investigating natural product-related issues. Computational tools can be employed in natural product research to address a multitude of aspects. The chapter then provides case studies for common application fields, where in silico investigations have successfully been applied to complement and support experimental investigations. Multi-conformational molecular databases consisting of natural products can be explored to discover novel bioactive constituents for the target of interest. For this purpose, models representing a specific target are employed for screening the compound collection, and selected mapping virtual hits can be subjected to experimental investigations.
| Original language | English |
|---|---|
| Title of host publication | Applied Chemoinformatics |
| Subtitle of host publication | Achievements and Future Opportunities |
| Editors | Thomas Engel, Johann Gasteiger |
| Publisher | Wiley VCH |
| Chapter | 6.3 |
| Pages | 207-236 |
| Number of pages | 30 |
| ISBN (Electronic) | 9783527806539 |
| ISBN (Print) | 9783527342013 |
| DOIs | |
| Publication status | Published - 5 Jun 2018 |
Austrian Fields of Science 2012
- 301204 Pharmacognosy
Keywords
- chemoinformatics methods
- computational methods
- multi-conformational molecular databases
- natural compounds
- natural product research
- virtual screening
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