MAINFRAME, an international, Open Science, ML Network to advance pre-competitive drug discovery
We recently launched MAINFRAME—an international, open-science network of machine learning scientists and computational chemists. MAINFRAME seeks to harness the data produced by Target2035 and AI to develop more robust, open-source hit identification methods for the benefit of all. The release of binding data orders of magnitude greater than what is currently available offers an unprecedented opportunity to enhance AI-driven hit identification and develop more generalizable, foundational models. At MAINFRAME, we are committed to keeping these models open-source and accessible to the whole scientific community. We invite all interested scientists to join us in this mission.
Institutions
- Institut d'Investigació Biomédica de Bellvitge (ES)
- Institute of Cancer Research (CA)
- Advanced Cancer Therapeutics (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-02
- DOI
- https://doi.org/10.5281/zenodo.15329150
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00