| Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models | May 6, 2014 | Distributed ComputingDrug Design | —Unverified | 0 | 0 |
| Unified Guidance for Geometry-Conditioned Molecular Generation | Jan 5, 2025 | Drug Design | —Unverified | 0 | 0 |
| Synergistic Benefits of Joint Molecule Generation and Property Prediction | Apr 23, 2025 | Drug Designmolecular representation | —Unverified | 0 | 0 |
| Uni-Mol: A Universal 3D Molecular Representation Learning Framework | Sep 8, 2022 | 3D geometry3D Geometry Prediction | —Unverified | 0 | 0 |
| Unveiling the frontiers of deep learning: innovations shaping diverse domains | Sep 6, 2023 | Deep LearningDrug Design | —Unverified | 0 | 0 |
| Using Deep Reinforcement Learning to Generate Rationales for Molecules | Jan 1, 2018 | Deep Reinforcement LearningDrug Design | —Unverified | 0 | 0 |
| Using the structural kinome to systematize kinase drug discovery | Apr 27, 2021 | Drug DesignDrug Discovery | —Unverified | 0 | 0 |
| Vertex-Edge Weighted Molecular Graphs: A study on topological indices and their relevance to physicochemical properties of drugs in use cancer treatment | Jul 28, 2024 | Drug Design | —Unverified | 0 | 0 |
| Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification | Jun 12, 2021 | ClassificationDrug Design | —Unverified | 0 | 0 |
| Widely Used and Fast De Novo Drug Design by a Protein Sequence-Based Reinforcement Learning Model | Aug 14, 2022 | Drug DesignDrug Discovery | —Unverified | 0 | 0 |
