NPCARE
NPCARE consolidates verified data on natural products and fractional extracts with experimentally validated anticancer activities to support research into cancer gene regulation.
Key Features:
- Extensive Data Collection: Contains 6,578 natural compounds and 2,566 fractional extracts derived from plants, marine organisms, fungi, and bacteria covering 1,952 distinct species.
- Cancer Type Specificity: Annotates each entry with the specific cancer type affected.
- Biological Source Information: Provides genus and species annotations for each biological source.
- Cell Line Validation: Includes validation data from 1,107 cell lines across 34 cancer types.
- Target Gene/Protein Information: Provides annotations of target genes and proteins associated with anticancer activities.
- Diverse Biological Resources: Includes 743 plant genera and 197 plant families among its documented sources.
- Curation and Verification: Entries include experimentally verified anticancer activity evidence.
Scientific Applications:
- Anticancer Drug Discovery: Supports identification and prioritization of natural compounds and fractional extracts as therapeutic leads.
- Mechanistic Studies: Enables investigation of molecular mechanisms via annotated target genes and proteins.
- Cell-Line Specific Selection: Facilitates selection of compounds validated in particular cell lines across 34 cancer types.
- Biodiversity-Guided Exploration: Enables exploration of compounds from plants, marine organisms, fungi, and bacteria for cancer research.
Methodology:
Entries were curated and validated using experimentally verified anticancer activity data across multiple cell lines and cancer types.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 9/1/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Choi H, Cho SY, Pak HJ, Kim Y, Choi J, Lee YJ, Gong BH, Kang YS, Han T, Choi G, Cho Y, Lee S, Ryoo D, Park H. NPCARE: database of natural products and fractional extracts for cancer regulation. Journal of Cheminformatics. 2017;9(1). doi:10.1186/s13321-016-0188-5. PMID:28184254. PMCID:PMC5267755.
PMID: 28184254
PMCID: PMC5267755
Funding: - Basic Science Research Program through the National Research Foundation of Korea: NRF-2016R1D1A1B01014187