4 papers
TEDDY: A Family Of Foundation Models For Understanding Single Cell Biology
Alexis Chevalier, Soumya Ghosh, Urvi Awasthi +15
Understanding the biological mechanisms of disease is crucial for medicine, and in particular, for drug discovery. AI-powered analysis of genome-scale biological data holds great p…
Hierarchy-Guided Topology Latent Flow for Molecular Graph Generation
Urvi Awasthi, Alexander Arjun Lobo, Leonid Zhukov
Generating chemically valid 3D molecules is hindered by discrete bond topology: small local bond errors can cause global failures (valence violations, disconnections, implausible r…
Property-Guided Molecular Generation and Optimization via Latent Flows
Alexander Arjun Lobo, Urvi Awasthi, Leonid Zhukov
Molecular discovery is increasingly framed as an inverse design problem: identifying molecular structures that satisfy desired property profiles under feasibility constraints. Whil…
AI-Guided Discovery of Novel Ionic Liquid Solvents for Industrial CO2 Capture
Davide Garbelotto, Alexander Lobo, Urvi Awasthi +8
We present an AI-driven approach to discover compounds with optimal properties for CO2 capture from flue gas-refinery emissions' primary source. Focusing on ionic liquids (ILs) as…