Isoprenova 2.0 is a freely available database with detailed information on new-to-nature isoprenoids generated by the Ignea Lab, using AI to accelerate the discovery of novel bioactive compounds. This database expands the known chemical space by introducing novel molecules with metabolic pathways for viable synthesis using known enzymes.
How to cite us:
Iram, A., Willis-Urena, K., Xu, C., Fetherstonhaugh, L., Raadam, MH., Ignea, C. (2026). AI‑driven design of novel cannabinoid‑like molecules as drug targets for enhanced modulation of the endocannabinoid system [PENDING SUBMISSION]
Website Contribution History
Date
03/05/26
25/04/25
Contribution
Update 2.0. 2D Structures added. [AI]
Isoprenova 1.0 launch. General website infrastructure. 700,000 compounds added. [KW, CX]
Isoprenova Contributions
Attia Iram: Conceptualization, experimental design, database and software development, curation, and implementation, website update, data generation and analysis, visualization, manuscript writing and review
Kate Willis-Urena: Data analysis, interpretation, visualization, website development, and manuscript review
Catherine Xu: Database and website development and curation, data analysis, interpretation, visualization, and manuscript review
Liam Fetherstonhaugh: Data analysis and interpretation
Morten H. Raadam: Data analysis, experimental design, interpretation, and manuscript review
Codruta Ignea: Conceptualization, experimental design, data analysis, visualization, funding acquisition, resources, supervision, manuscript writing and review
Get in touch
If you have any questions please reach out to Attia Iram or Codruta Ignea