Natural Products for Drug Discovery in the 21st Century: Innovations for Novel Therapeutics, 2nd Edition
A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Natural Products Chemistry".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 4120
Special Issue Editors
Interests: natural product chemistry (isolation and structure elucidation); secondary/specialized metabolism; metabolic profiling; molecular modelling; docking and dynamics; bioorganic and medicinal chemistry; anti-parasitic, anti-cancer; anti-fungal; anti-inflammatory bioactive compounds
Special Issues, Collections and Topics in MDPI journals
Interests: natural products chemistry and chemical biology; drug discovery and target identification for infectious diseases; crop protection, and cancer; chemical proteomics and proteome dynamics; metabolomics
Special Issues, Collections and Topics in MDPI journals
Interests: natural products; anti-parasitic activity; anti-cancer activity; structure elucidation; spectroscopy; computer-aided structure-activity relationship studies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following the first successful Special Issue on this topic (available here), we are happy to announce a second edition titled “Natural Products for Drug Discovery in the 21st Century: Innovations for Novel Therapeutics, 2nd Edition”.
Natural products (NPs) from plants, fungi, and various microorganisms have played very important roles in modern drug discovery. They still do so in the 21st century. An increasing number of highly promising discoveries in this field are published in natural product periodicals such as Molecules every year. This Special Issue within the Natural Products Chemistry Section of Molecules will feature some of the recent and most promising findings in this area.
Original communications may be related to structurally new NPs with exciting potential as hits or lead structures, novel findings on the biological effects and therapeutic potential of previously known natural products, new results on structure–activity relationships and/or mechanisms of action within particularly promising classes of natural products, applications on statistical integration of chemical and biological activity datasets for pattern recognition to determine promising bioactive from mixtures of natural origin, and articles on the fast-growing field of development and application of new strategies and approaches for the discovery of new NPs with bioactivity and therapeutic potential. Last but not least, timely, critical, and comprehensive reviews on particularly interesting topics within the broad field of natural products chemistry and biology are highly welcome.
Please note that a strong focus in this Special Issue will be put on a clear connection between chemical structure and biological/therapeutic effects. Thus, communications on the biological effects of chemically uncharacterized or poorly characterized preparations of “alternative therapeutic systems” or crude extracts/fractions without a clear connection to the underlying chemical principles will not be considered.
Prof. Dr. Ericsson Coy-Barrera
Prof. Dr. Ifedayo Victor Ogungbe
Prof. Dr. Thomas J. Schmidt
Guest Editors
Manuscript Submission Information
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Keywords
- drug development from natural products
- natural hits and leads (including synthetic optimization)
- mechanism of action
- therapeutic application
- structure-activity relationships
- drug repositioning of natural products
- new methodologies to isolate and characterize biologically active natural products
- biosynthesis of natural products-derived drugs
- innovative production of bioactive natural products by metabolic engineering or in vitro culture
- compound libraries of bioactive natural products and analogs to support drug discovery
- open access repository of bioactive natural products’ spectroscopic data for dereplication and identification of hit compounds
- high-throughput screening and microfractionation to discover bioactive natural products
- natural products-inspired protein degraders
- natural product inhibitors of protein-protein interactions
- natural products-based immunomodulators
- applications of machine learning (ML) and artificial intelligence (AI) in de novo structure elucidation
- applications of machine learning (ML) and artificial intelligence (AI) in the discovery of new natural products.
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