PMO-Dock: Benchmarking Docking, Specificity, and Generalization in Molecular Optimization
cs.LG, q-bio.QM
Submitted: 2026-10-13
Updated: 2026-10-13
Code: https://github.com/YerevaNN/PMO-Dock
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
- Small Molecule Optimization with Large Language Models
- Efficient Evolutionary Search Over Chemical Space with Large Language Models
- Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design
- Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation
- GenMol: A Drug Discovery Generalist with Discrete Diffusion
- Gotta be SAFE: A New Framework for Molecular Design
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks