Building on the success of last year’s Solubility Challenge, this new AI/ML competition calls on researchers to develop predictive models for the optical properties of small molecules — including transmittance and fluorescence — using screening data from the EU-OPENSCREEN bioprofiling programme. The initiative is conducted in collaboration with Prof. Igor Tetko’s group, which won the first Kaggle Solubility Challenge (https://www.kaggle.com/competitions/euos-slas) and supported by AiChemist project. The challenge is hosted on the OCHEM platform.

The challenge opens in October 2025, with the leaderboard released on December 15, 2025, and final submissions due January 15, 2026.
Two winning teams will each receive a €1,000 prize, to be announced during SLAS2026 in Boston (February 7–11, 2026). Top-performing participants will also be invited to publish their findings in SLAS Discovery or SLAS Technology.

The competition promotes open science, data sharing, and innovation in cheminformatics and AI, advancing the integration of machine learning into early-stage drug discovery.

Learn more and join the challenge: https://ochem.eu/static/challenge2025.do