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Cited by 413

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The value of natural products to future pharmaceutical discovery

Baker, Dwight D., Chu, Min, Oza, Uma, Rajgarhia, Vineet·2007·Natural Product Reports

Abstract

Natural products have provided considerable value to the pharmaceutical industry over the past half century. In particular, the therapeutic areas of infectious diseases and oncology have benefited from numerous drug classes derived from natural product sources. Unfortunately, pharmaceutical companies have significantly decreased activities in natural product discovery during the past several years. Biotechnology companies working in the fields of combinatorial biosynthesis, genetic engineering and metagenomic approaches to identify novel natural product lead molecules have had limited success. Despite what appears to be a slow death of natural product discovery research, many new and interesting molecules with biological activity have been published in the past few years. If natural product materials continue to be tested for desirable therapeutic activities, we believe that significant progress in identifying new antibiotics, oncology therapeutics and other useful medicines will be made.

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Crossref · 10.1039/b602241n

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Metadata

Authors
Baker, D. D., Chu, M., Oza, U., & Rajgarhia, V.
Venue
Natural Product Reports
Published
2007
Volume
24
Issue
6
Pages
1225
ISSN
  • 0265-0568 (ISSN-L)
  • 1460-4752
OpenAlex
W2131203932
Cited by
413
References
2
FWCI
12.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The value of natural products to future pharmaceutical discovery. https://app.cochat.ai/papers/10.1039/b602241n
The paper
Baker, D. D., Chu, M., Oza, U., & Rajgarhia, V. (2007). The value of natural products to future pharmaceutical discovery. Natural Product Reports. https://doi.org/10.1039/b602241n

Data sources

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.