The re-emergence of natural products for drug discovery in the genomics era
By A. Harvey, R. Edrada-Ebel, R. Quinn. Nature reviews. Drug discovery, 2015
2,263 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology, Pharmacology
View Paper: https://www.semanticscholar.org/paper/52ccb9e0a4cfe60eeea8d62fdb7f39a9d6bbdda5
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In Computational Theory and Mathematics
In Molecular Biology
In Pharmacology
Citations in the corpus
- SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping (2018, background): “Isolation and further derivatization of natural products from traditional medicines is a promising PDD strategy (3).”
- HERB: a high-throughput experiment- and reference-guided database of traditional Chinese medicine (2020, background): “Therefore, isolating the active ingredients in TCM and further dissecting their mechanisms of action provides a promising starting point for new therapeutics (10,11).”
- A deep learning genome-mining strategy for biosynthetic gene cluster prediction (2019, background): “The global rise in antibiotic resistance (3,4), the increased promise of immunomodulatory agents in cancer treatment (5), and the continued need for development of new drugs across novel and complex biology is contingent upon the identification of structurally diverse bioactive compounds (6–8).”
- Review on natural products databases: where to find data in 2020 (2020, background): “The previous reviews on NPs databases are either outdated and do not reference the actual state of NP resources [12, 13], either focus on one particular type of application for such databases [14, 15], in particular databases that can be used for dereplication [16], a particular geographic origin of”