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| Balancing Exploration and Exploitation: Disentangled β-CVAE in De Novo Drug Design | Jun 2, 2023 | DisentanglementDrug Design | —Unverified | 0 |
| Approximation-Generalization Trade-offs under (Approximate) Group Equivariance | May 27, 2023 | Drug Design | —Unverified | 0 |
| Generation of 3D Molecules in Pockets via Language Model | May 17, 2023 | 3D Molecule GenerationDrug Design | —Unverified | 0 |
| In Silico Approaches to Deliver Better Antibodies by Design: The Past, the Present and the Future | May 12, 2023 | Drug Design | —Unverified | 0 |
| Optimizing Drug Design by Merging Generative AI With Active Learning Frameworks | May 4, 2023 | Active LearningDrug Design | —Unverified | 0 |
| Knowledge graph-enhanced molecular contrastive learning with functional prompt | May 4, 2023 | Contrastive LearningDrug Design | —Unverified | 0 |
| An Equivariant Generative Framework for Molecular Graph-Structure Co-Design | Apr 12, 2023 | 3D geometryDrug Design | CodeCode Available | 0 |
| Evaluation of GPT and BERT-based models on identifying protein-protein interactions in biomedical text | Mar 30, 2023 | Drug DesignLiterature Mining | —Unverified | 0 |
| Utilizing Reinforcement Learning for de novo Drug Design | Mar 30, 2023 | DiversityDrug Design | CodeCode Available | 0 |
| Molecular Property Prediction by Semantic-invariant Contrastive Learning | Mar 13, 2023 | Contrastive LearningDrug Design | —Unverified | 0 |
| DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference | Mar 10, 2023 | Bayesian InferenceDrug Design | CodeCode Available | 0 |
| Infinite Physical Monkey: Do Deep Learning Methods Really Perform Better in Conformation Generation? | Mar 8, 2023 | Drug DesignDrug Discovery | —Unverified | 0 |
| Accurate Free Energy Estimations of Molecular Systems Via Flow-based Targeted Free Energy Perturbation | Feb 23, 2023 | Drug Design | —Unverified | 0 |
| Machine learning for the prediction of safe and biologically active organophosphorus molecules | Feb 21, 2023 | Drug DesignDrug Discovery | —Unverified | 0 |
| ClaPIM: Scalable Sequence CLAssification using Processing-In-Memory | Feb 16, 2023 | ClassificationDrug Design | CodeCode Available | 0 |
| Do Deep Learning Models Really Outperform Traditional Approaches in Molecular Docking? | Feb 14, 2023 | Deep LearningDrug Design | —Unverified | 0 |
| PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding | Feb 14, 2023 | Drug DesignMulti-Task Learning | —Unverified | 0 |
| Transfer Learning for Bayesian Optimization: A Survey | Feb 12, 2023 | Bayesian OptimizationDrug Design | —Unverified | 0 |
| 3D Molecular Generation via Virtual Dynamics | Feb 12, 2023 | Drug DesignDrug Discovery | —Unverified | 0 |
| Protein-protein docking using a tensor train black-box optimization method | Feb 7, 2023 | Drug Design | —Unverified | 0 |
| Persistent Dirac for molecular representation | Feb 5, 2023 | Drug Designmolecular representation | —Unverified | 0 |
| Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy | Feb 5, 2023 | DiversityDrug Design | —Unverified | 0 |
| StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes | Jan 29, 2023 | Drug Design | —Unverified | 0 |
| Geometric Graph Learning with Extended Atom-Types Features for Protein-Ligand Binding Affinity Prediction | Jan 15, 2023 | Drug DesignGraph Learning | CodeCode Available | 0 |