Agentic AI for screening ligand-target binding affinitySimona Rabinovici-CohenJeff Weberet al.2026ISMB 2026Poster
Embedding billion-scale molecule databases in generative model latent space enables efficient search for accessible surrogatesTim RumbellShruti Murarkaet al.2026ACS Spring 2026Poster
AI, Physics-Based Models, and the Complex and Complicated Nature of Drug DesignWendy Cornell2025ACS Fall 2025Invited talk
SPARK: Harnessing Human-Centered Workflows with Biomedical Foundation Models for Drug DiscoveryBc KwonSimona Rabinovici-Cohenet al.2024IJCAI 2024Demo paper
Molecular dynamics as a data source: scaling simulation for building AI modelsJoseph MorroneJeff Weberet al.2023ACS Fall 2023Talk
Graph-based 3D Generative Small-Molecule Modeling Targeting for Multi Proteins with Enhanced Binding CompatibilitySeung Gu KangJeff Weberet al.2023ACS Fall 2023Talk
Characterization of small molecule latent spaces derived from a variety of generative molecule creation approachesWendy Cornell2023ACS Fall 2023Talk
Comparing active site sequence representations for kinase-ligand affinity predictionJannis BornTien Huynhet al.2022ACS Fall 2022Invited talk
In-Pocket 3D Graphs Enhance Ligand-Target Compatibility in Generative Small-Molecule CreationSeung Gu KangJeff Weberet al.2022arXivPaper
Active site sequence representation of human kinases outperforms full sequence for affinity prediction and inhibitor generation: 3D effects in a 1D modelJannis BornTien Huynhet al.2022ACS Spring 2022Poster