Practical Molecular Optimization (PMO)
Emerging7papers using it
2023first seen
The Practical Molecular Optimization (PMO) benchmark is a dataset used to evaluate the sample efficiency of molecular generative models under a constrained computational budget.
Papers using Practical Molecular Optimization (PMO) (7)
- Refine Drugs, Don't Complete Them: Uniform-Source Discrete Flows for Fragment-Based Drug DiscoverySEISMO: Increasing Sample Efficiency in Molecular Optimization with a Trajectory-Aware LLM AgentMolLIBRA: Genetic Molecular Optimization with Multi-Fingerprint Surrogates and Text-Molecule Aligned CriticAugmented Memory: Capitalizing on Experience Replay to Accelerate De
Novo Molecular DesignSmall Molecule Optimization with Large Language ModelsBeam Enumeration: Probabilistic Explainability For Sample Efficient
Self-conditioned Molecular DesignQuantum-inspired Reinforcement Learning for Synthesizable Drug Design