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Retrospective analysis of natural products provides insights for future discovery trends
Open accessAbstract
Significance: Natural products research seems to be at a critical juncture in terms of its relevance to modern biological science. We have evaluated this landscape of chemical diversity to ask key questions, including the following. How has the rate of discovery of new natural products progressed over the past 70 y? Has natural product structural novelty changed as a function of time? Has the rate of novel discovery declined in recent years? Does exploring novel taxonomic space afford an advantage in terms of novel compound discovery? Is it possible to estimate how close we are to describing all of the chemical space covered by natural products? And, finally, is there still value in exploring natural products space for novel biologically active natural products?
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Cited by
NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products
Kim, H. W., Wang, M., Leber, C. A., Nothias, L.-F., Reher, R., Kang, K. B., van der Hooft, J. J. J., Dorrestein, P. C., Gerwick, W. H., & Cottrell, G. W. (2021) · Journal of Natural Products · doi:10.1021/acs.jnatprod.1c00399 · Cited by 551
Self-citationCarroll, A. R., Copp, B. R., Davis, R. A., Keyzers, R. A., & Prinsep, M. R. (2019) · Natural Product Reports · doi:10.1039/c8np00092a · Cited by 518
A Systematic Cheminformatics Analysis of Functional Groups Occurring in Natural Products
Ertl, P., & Schuhmann, T. (2019) · Journal of Natural Products · doi:10.1021/acs.jnatprod.8b01022 · Cited by 358
Cyanogate: a modular cloning suite for engineering cyanobacteria based on the plant moclo syntax
Vasudevan, R., Gale, G. A. R., Schiavon, A. A., Puzorjov, A., Malin, J., Gillespie, M. D., Vavitsas, K., Zulkower, V., Wang, B., Howe, C. J., et al. (2019) · Plant Physiology · doi:10.1104/pp.18.01401 · Cited by 189
Rizvi, S. A. A., Einstein, G. P., Tulp, O. L., Sainvil, F., & Branly, R. (2022) · Biomolecules · doi:10.3390/biom12101442 · Cited by 181
“Not all potential benefits from natural products have been realized, as a vast majority of them have not been explored [15].”
Background
Metadata
- Authors
- Pye, C. R., Bertin, M. J., Lokey, R. S., Gerwick, W. H., & Linington, R. G.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2017-05
- Volume
- 114
- Issue
- 22
- Pages
- 5601-5606
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2611021352
- Cited by
- 534
- References
- 0
- FWCI
- 33.19
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Retrospective analysis of natural products provides insights for future discovery trends. https://app.cochat.ai/papers/10.1073/pnas.1614680114
- The paper
- Pye, C. R., Bertin, M. J., Lokey, R. S., Gerwick, W. H., & Linington, R. G. (2017). Retrospective analysis of natural products provides insights for future discovery trends. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1614680114
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
