Using Analogy as Means to AI ExplainabilityVinicius SeguraJuliana Jansen Ferreiraet al.2026ACS Spring 2026Conference paper
Tool-Augmented AI for Drug Discovery: An Agentic Platform for Integrated Molecule Generation and ScreeningLeili ZhangBc Kwonet al.2026ACS Spring 2026Talk
MSCORE: Multi-Target Protein Design through Compositional Score CombinationVadim RatnerYoel Shoshanet al.2026ACS Spring 2026Talk
Predicting Antibody Relative Binding Free Energies with MD-Derived Graph Neural NetworksKevin ChengJeff Weber2026ACS Spring 2026Talk
Principled Latent-Variable Modeling Enables Efficient Conditional Molecular DesignPartha SuryanarayananBc Kwonet al.2026ACS Spring 2026Talk
Prioritizing Influenza Vaccine Selection with Sequence-Based AI Antigenicity ModelsKevin ChengMichal Ozery-Flatoet al.2026ACS Spring 2026Talk
Assessing Chemical Foundation Models for Glycan Representation and TasksManuel RavasqueiraJoao Bettencourt-Silvaet al.2026ACS Spring 2026Poster
Embedding billion-scale molecule databases in generative model latent space enables efficient search for accessible surrogatesTim RumbellShruti Murarkaet al.2026ACS Spring 2026Poster
Agentic AI for screening antibody:antigen binding affinitySimona Rabinovici-CohenJeff Weberet al.2026ACS Spring 2026Poster
Cross-modal fusion of protein language models, large language models, and 3D structural models for unified protein representationsBen ShapiraMichal Ozery-Flatoet al.2026ACS Spring 2026Poster