Microbial Natural Products in Drug Discovery Chemistry
A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Medicinal Chemistry".
Deadline for manuscript submissions: closed (15 December 2022) | Viewed by 27818
Special Issue Editor
Interests: microbial natural products; drug discovery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Microorganisms are known to be a rich source of new bioactive molecules with a wide range of biotechnological applications in pharmaceutical research. Microbial natural products continue to be a valuable source of new therapeutic agents, with pharma researchers looking for innovative chemical scaffolds beyond large synthetic libraries to ensure successful screening campaigns in drug discovery.
Genomic studies indicate that the biosynthetic potential of many microbial strains is much greater than has already been exploited. The expression of dormant or under-expressed biosynthetic gene clusters, nutritional and elicitor modulation of their metabolic profiles, access to new taxonomical groups, laboratory automation, high-throughput production conditions, LCMS and NMR analytical miniaturization, collaborative chemical databases of known standards, metabolomics, molecular networking, innovative new targets, smart HTS on natural products, as well as big data and artificial intelligence are all contributing to a rapid and efficient generation of new classes of drug candidates from microbial natural products in human health, with promising results in areas such as cancer, anti-infectives, immunomodulation, and degenerative or neglected diseases, among others.
This Special Issue of Molecules on “Microbial Natural Products in Drug Discovery Chemistry” aims to reflect this current synergistic situation in the scientific community towards reaching the next generation of human therapeutic agents from nature.
Dr. Rubén Tormo
Guest Editor
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Keywords
- Natural products
- Drug discovery
- Genome mining
- Activation of cryptic pathways
- High-throughput fermentation
- Smart high-throughput screening
- Analytical miniaturization
- Metabolomics by LCMS or NMR
- Molecular networking
- Chemical databases
- Big data
- Artificial intelligence
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