The LOTUS initiative for open knowledge management in natural products research

Contemporary bioinformatic and chemoinformatic capabilities hold promise to reshape knowledge management, analysis and interpretation of data in natural products research. Currently, reliance on a disparate set of non--standardized, insular, and specialized databases presents a series of challenges for data access, both within the discipline and for integration and interoperability between related fields. The fundamental elements of exchange are referenced structure--organism pairs that establish relationships between distinct molecular structures and the living organisms from which they were identified. Consolidating and sharing such information via an open platform has strong transformative potential for natural products research and beyond. This is the ultimate goal of the newly established LOTUS initiative, which has now completed the first steps toward the harmonization, curation, validation and open dissemination of 750,000+ referenced structure--organism pairs. LOTUS data is hosted on Wikidata and regularly mirrored on https://lotus.naturalproducts. net. Data sharing within the Wikidata framework broadens data access and interoperability, opening new possibilities for community curation and evolving publication models. Furthermore, embedding LOTUS data into the vast Wikidata knowledge graph will facilitate new biological and chemical insights. The LOTUS initiative represents an important advancement in the design and deployment of a comprehensive and collaborative natural products knowledge base.

Automated summary

Contemporary bioinformatic and chemoinformatic capabilities have the potential to reshape knowledge management, analysis, and interpretation in natural products research. However, the reliance on disparate and specialized databases poses challenges for data access and integration. The LOTUS initiative aims to address these challenges by consolidating and sharing referenced structure-organism pairs on an open platform, promoting collaboration and transformative research.