2024
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
NeurIPS 2024poster
Predicting low-energy molecular conformations given a molecular graph is an important but challenging task in computational drug discovery. Existing state- of-the-art approaches either resort to large scale transformer-based models that diffuse over conformer fields, or use computationally expensiv…