Amir Barati Farimani

This paper introduces dECM-AoAO organoids that better recapitulate native airway epithelial composition and function compared to ECM-free models.

AgentD, a GPT-4o agent wired to retrieval, generative, ADMET and Boltz-2 tools, chains early drug-discovery steps for BCL-2 and raised molecules with QED > 0.6 from 34 to 55.

The paper introduces AggreBots, a platform for creating designer motility patterns in multicellular tissues by spatially controlling the aggregation of epithelial spheroids, achieving greater motility than traditional CiliaBots.

This paper introduces a GAN-based model to generate protein sequences for predicting virus mutations across multiple classes.

The paper uses kinetic machine learning to analyze molecular dynamics simulations of the μ opioid receptor, identifying new metastable states and ligand-directed conformational changes.