COCONUT is an open-access database dedicated to collecting and disseminating natural products. It aims to provide researchers, scientists, and enthusiasts with comprehensive and easily accessible data on a wide variety of natural compounds. The database includes detailed information on the chemical structures, literature references and sources of these compounds, facilitating research and discovery in natural products.
- Extensive Database: Contains information on thousands of natural products from diverse sources (63).
- Chemical Structures: Provides detailed chemical structures for each natural product, aiding research and identification.
- Search and Filter: Advanced search and filtering options to find compounds based on specific criteria easily.
- Online Submission and Curation: Allows users to contribute new data, ensuring the database remains current and comprehensive.
- API Access: Provides API access for seamless integration with other tools and databases.
COCONUT data curation and descriptors calculation are performed using our microservices. More details can be found in our API documentation.
COCONUT infrastructure code is licensed under the MIT license - see the LICENSE. Every source on COCONUT comes with its own specific license. It is essential to review the license details for each dataset before using it.
- Sorokina, M., Merseburger, P., Rajan, K. et al. (2021). COCONUT online: COlleCtion of Open Natural prodUcTs database. Journal of Cheminformatics, 13, 2. https://doi.org/10.1186/s13321-020-00478-9
- Nainala, V.C., Rajan, K., Kanakam, S.R.S., Sharma, N., Weißenborn, V., Schaub, J., et al. (2024). COCONUT 2.0: A comprehensive overhaul and curation of the collection of open natural products database. ChemRxiv. https://doi.org/10.26434/chemrxiv-2024-fxq2s
The COCONUT database and its infrastructure are developed and maintained by the Steinbeck group at the Friedrich Schiller University Jena, Germany.
The code for this web application is released under the MIT license. Copyright © CC-BY-SA 2024
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the ChemBioSys (Project INF) - Project number: 239748522 - SFB 1127.
