MAINFRAME Symposium on AI-Driven Small-Molecule Drug Discovery

Organized by the Vall d’Hebron Institute of Oncology (VHIO), the Barcelona Supercomputing Center (BSC), the Institute of Research in Biomedicine (IRB), Conscience, and the Structural Genomics Consortium (SGC), together with Target 2035, the symposium builds on a major international initiative to generate ultra-large-scale open screening data for more than 2,000 human proteins, aiming to boost AI approaches for proteome-wide hit finding to ultimately identify a small molecule for every human protein.

In order to open the dialogue with the whole community, posters and selected talks from submitted abstracts are central to the symposium.

Approximately half of the speaking slots will be selected from submitted abstracts, ensuring strong representation from trainees and early-career researchers alongside established leaders.

MAINFRAME is an international network of machine learning scientists and computational chemists, dedicated to advancing pre-competitive drug discovery research.

Members of MAINFRAME focus on developing open-source algorithms and predictive machine learning models of chemical bioactivity.