DrugFlow, a flow-matching plus Markov-bridge generative model, reports state-of-the-art distributional fidelity for structure-based drug design and adds uncertainty, size adaptation, side-chain flexibility, and preference alignment.
Model Parameter D RUGFLOW DRUGFLOW-OOD F LEX FLOW DRUGFLOW-PA Num
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Multi-domain Distribution Learning for De Novo Drug Design
DrugFlow, a flow-matching plus Markov-bridge generative model, reports state-of-the-art distributional fidelity for structure-based drug design and adds uncertainty, size adaptation, side-chain flexibility, and preference alignment.