Cited by 156Metabolomics and Mass Spectrometry StudiesMicrobial Natural Products and BiosynthesisComputational Drug Discovery Methods

Integration of high-content screening and untargeted metabolomics for comprehensive functional annotation of natural product libraries

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Kurita, Kenji L., Glassey, Emerson, Linington, Roger G.·2015·Proceedings of the National Academy of Sciences

Abstract

Significance: Compound Activity Mapping provides an alternative approach to natural products drug discovery by integrating high-content biological screening and untargeted metabolomics to directly reveal the identities and biological functions of individual bioactive compounds in complex natural product libraries. This accelerated discovery pipeline addresses many of the issues that have contributed to the decline of natural products research in some areas by improving dereplication and lead prioritization strategies. The detailed structural and functional annotation offered by this tool may help to improve the integration of natural products with modern high-content, high-throughput screening and provide an additional strategy for the discovery of the next generation of natural product-inspired drug leads and chemical probes.

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Authors
Kurita, K. L., Glassey, E., & Linington, R. G.
Affiliations
University of California, Santa Cruz (US)
Venue
Proceedings of the National Academy of Sciences
Published
2015-09-14
Volume
112
Issue
39
Pages
11999-12004
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1854781589
Cited by
156
References
43
Citations by year
2026: 7 · 2025: 15 · 2024: 12 · 2023: 14 · 2022: 15 · 2021: 15 · 2020: 10 · 2019: 15 · 2018: 16 · 2017: 13 · 2016: 24
FWCI
7.66
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
HHS | National Institutes of Health (TW006634)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
  • Health Sciences › Medicine › Pharmacology › Microbial Natural Products and Biosynthesis
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
Keywords
natural product discovery, high-content screening, untargeted metabolomics, bioactive metabolites, HeLa cells, natural extracts, endoplasmic reticulum stress, bioassay-guided fractionation, lead selection
MeSH terms
Biological Products, HeLa Cells, Humans, Image Processing, Computer-Assisted, Databases as Topic, Metabolomics, Drug Discovery, Data Curation

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