| 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 |
| xTrimoABFold: De novo Antibody Structure Prediction without MSA | Nov 30, 2022 | Computational EfficiencyDrug Design | —Unverified | 0 | 0 |
| Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development | Oct 15, 2024 | Drug DesignKnowledge Graphs | —Unverified | 0 | 0 |
| Multi-objective generative AI for designing novel brain-targeting small molecules | Apr 16, 2024 | Drug DesignGraph Neural Network | —Unverified | 0 | 0 |
| GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs | Aug 2, 2024 | Computational EfficiencyDrug Design | —Unverified | 0 | 0 |
| Evolutionary training-free guidance in diffusion model for 3D multi-objective molecular generation | May 16, 2025 | DenoisingDrug Design | —Unverified | 0 | 0 |
| 3D Molecular Generation via Virtual Dynamics | Feb 12, 2023 | Drug DesignDrug Discovery | —Unverified | 0 | 0 |
| A 3D pocket-aware and evolutionary conserved interaction guided diffusion model for molecular optimization | May 9, 2025 | Drug Design | —Unverified | 0 | 0 |
| Accurate Free Energy Estimations of Molecular Systems Via Flow-based Targeted Free Energy Perturbation | Feb 23, 2023 | Drug Design | —Unverified | 0 | 0 |
| A Comprehensive Review of Emerging Approaches in Machine Learning for De Novo PROTAC Design | Jun 24, 2024 | Drug DesignDrug Discovery | —Unverified | 0 | 0 |
| A Comprehensive Review of Generative AI in Healthcare | Oct 1, 2023 | DiagnosticDrug Design | —Unverified | 0 | 0 |
| A Constraint Programming Approach to Weighted Isomorphic Mapping of Fragment-based Shape Signatures | Dec 20, 2021 | Drug Design | —Unverified | 0 | 0 |
| Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation | Jun 18, 2025 | Active LearningDiversity | —Unverified | 0 | 0 |
| A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly | May 27, 2025 | DenoisingDrug Design | —Unverified | 0 | 0 |
| AI challenges for predicting the impact of mutations on protein stability | Nov 8, 2021 | Computational EfficiencyDrug Design | —Unverified | 0 | 0 |
| AlgoRxplorers | Precision in Mutation: Enhancing Drug Design with Advanced Protein Stability Prediction Tools | Jan 13, 2025 | Drug DesignDrug Discovery | —Unverified | 0 | 0 |