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Stephan Thaler

2 accepted papers

2026

CoarseBind: Fast and Accurate Binding Affinity Prediction through Coarse Structural Representations

ICML 2026poster

We present CoarseBind, a foundation model for protein-ligand structure and binding affinity prediction that achieves 26$\times$ faster inference than state-of-the-art methods while improving affinity prediction accuracy by up to 20\%. Current deep learning approaches to structure-based drug design r…

Cited by 0SourceScholar
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…