| GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration | Jan 24, 2025 | Drug DiscoveryRAG | CodeCode Available | 0 |
| Reinforcement Learning for Molecular Dynamics Optimization: A Stochastic Pontryagin Maximum Principle Approach | Dec 6, 2022 | Decision MakingDrug Discovery | CodeCode Available | 0 |
| An Overview of Multi-Task Learning in Deep Neural Networks | Jun 15, 2017 | BIG-bench Machine LearningDrug Discovery | CodeCode Available | 0 |
| GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow | Feb 23, 2023 | 3D geometry3D Molecule Generation | CodeCode Available | 0 |
| MolecularRNN: Generating realistic molecular graphs with optimized properties | May 31, 2019 | Drug DiscoveryMolecular Graph Generation | CodeCode Available | 0 |
| Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models | Nov 29, 2018 | BenchmarkingDiversity | CodeCode Available | 0 |
| GraphDTA: prediction of drug–target binding affinity using graph convolutional networks | Jul 2, 2019 | Deep LearningDrug Discovery | CodeCode Available | 0 |
| MoleculeCLA: Rethinking Molecular Benchmark via Computational Ligand-Target Binding Analysis | Jun 13, 2024 | Drug DiscoveryMolecular Property Prediction | CodeCode Available | 0 |
| GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators | Jul 13, 2023 | Drug DiscoveryGraph Embedding | CodeCode Available | 0 |
| Grad-CAMO: Learning Interpretable Single-Cell Morphological Profiles from 3D Cell Painting Images | Mar 26, 2024 | Drug DiscoveryRepresentation Learning | CodeCode Available | 0 |
| BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions | Jan 29, 2021 | Drug DiscoveryGraph Neural Network | CodeCode Available | 0 |
| Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks | Apr 8, 2018 | DiversityDrug Discovery | CodeCode Available | 0 |
| GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model | Mar 23, 2025 | Anomaly DetectionDrug Discovery | CodeCode Available | 0 |
| GGL-PPI: Geometric Graph Learning to Predict Mutation-Induced Binding Free Energy Changes | Sep 23, 2023 | Drug DesignDrug Discovery | CodeCode Available | 0 |
| Therapeutic target discovery using Boolean network attractors: improvements of kali | Nov 10, 2016 | Drug Discovery | CodeCode Available | 0 |
| Physics-informed generative real-time lens-free imaging | Mar 12, 2024 | Drug DiscoveryImage Reconstruction | CodeCode Available | 0 |
| Molecule Property Prediction Based on Spatial Graph Embedding | Aug 22, 2019 | Drug DiscoveryGraph Embedding | CodeCode Available | 0 |
| Spline refinement with differentiable rendering | Mar 15, 2025 | Drug Discovery | CodeCode Available | 0 |
| BoKDiff: Best-of-K Diffusion Alignment for Target-Specific 3D Molecule Generation | Jan 26, 2025 | 3D Molecule GenerationDrug Design | CodeCode Available | 0 |
| Deep Inverse Reinforcement Learning for Structural Evolution of Small Molecules | Jul 24, 2020 | Drug DiscoveryGenerative Adversarial Network | CodeCode Available | 0 |
| Stacked Ensemble Machine Learning for Range-Separation Parameters | Sep 24, 2021 | DiversityDrug Discovery | CodeCode Available | 0 |
| RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery | May 28, 2025 | Drug DiscoveryRAG | CodeCode Available | 0 |
| From Theory to Therapy: Reframing SBDD Model Evaluation via Practical Metrics | Jun 13, 2024 | Drug DesignDrug Discovery | CodeCode Available | 0 |
| Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph Explainability | Jan 29, 2024 | Drug DiscoveryExplainable artificial intelligence | CodeCode Available | 0 |
| From Abstract to Actionable: Pairwise Shapley Values for Explainable AI | Feb 18, 2025 | Drug DiscoveryFairness | CodeCode Available | 0 |
| The Role of Model Architecture and Scale in Predicting Molecular Properties: Insights from Fine-Tuning RoBERTa, BART, and LLaMA | May 2, 2024 | BenchmarkingDrug Discovery | CodeCode Available | 0 |
| Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery | Mar 26, 2018 | Drug DesignDrug Discovery | CodeCode Available | 0 |
| FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model | Apr 23, 2024 | Drug DiscoveryIn-Context Learning | CodeCode Available | 0 |
| MUBen: Benchmarking the Uncertainty of Molecular Representation Models | Jun 14, 2023 | BenchmarkingDrug Discovery | CodeCode Available | 0 |
| ReactEmbed: A Cross-Domain Framework for Protein-Molecule Representation Learning via Biochemical Reaction Networks | Jan 30, 2025 | Contrastive LearningDrug Discovery | CodeCode Available | 0 |
| Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction | Mar 20, 2025 | Drug Discovery | CodeCode Available | 0 |
| An open unified deep graph learning framework for discovering drug leads | Dec 6, 2022 | BenchmarkingDrug Discovery | CodeCode Available | 0 |
| BioAct-Het: A Heterogeneous Siamese Neural Network for Bioactivity Prediction Using Novel Bioactivity Representatio | Oct 15, 2023 | Drug DiscoveryMeta-Learning | CodeCode Available | 0 |
| A generalized method toward drug-target interaction prediction via low-rank matrix projection | Jun 6, 2017 | BIG-bench Machine LearningDrug Discovery | CodeCode Available | 0 |
| Multi-Fidelity Cost-Aware Bayesian Optimization | Nov 4, 2022 | Bayesian OptimizationDrug Discovery | CodeCode Available | 0 |
| AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach | Feb 13, 2020 | Drug DiscoveryGraph Mining | CodeCode Available | 0 |
| Recursive Tree Grammar Autoencoders | Dec 3, 2020 | DecoderDrug Discovery | CodeCode Available | 0 |
| Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction | Dec 15, 2020 | Bayesian InferenceDeep Learning | CodeCode Available | 0 |
| Unveiling Molecular Secrets: An LLM-Augmented Linear Model for Explainable and Calibratable Molecular Property Prediction | Oct 11, 2024 | CPUDimensionality Reduction | CodeCode Available | 0 |
| FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning | Oct 19, 2024 | BenchmarkingDrug Discovery | CodeCode Available | 0 |
| Top-N: Equivariant set and graph generation without exchangeability | Oct 5, 2021 | Drug DiscoveryGenerative Adversarial Network | CodeCode Available | 0 |
| FIMBA: Evaluating the Robustness of AI in Genomics via Feature Importance Adversarial Attacks | Jan 19, 2024 | Decision MakingDrug Discovery | CodeCode Available | 0 |
| Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing | Jul 20, 2020 | Drug DiscoveryFew-Shot Learning | CodeCode Available | 0 |
| BatmanNet: Bi-branch Masked Graph Transformer Autoencoder for Molecular Representation | Nov 25, 2022 | Drug DiscoveryMolecular Property Prediction | CodeCode Available | 0 |
| Study of Deep Generative Models for Inorganic Chemical Compositions | Oct 25, 2019 | Drug DiscoveryImage Generation | CodeCode Available | 0 |
| Few-shot Conformal Prediction with Auxiliary Tasks | Feb 17, 2021 | Computational chemistryConformal Prediction | CodeCode Available | 0 |
| DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction | Dec 1, 2019 | Drug DesignDrug Discovery | CodeCode Available | 0 |
| Multiscale Topology in Interactomic Network: From Transcriptome to Antiaddiction Drug Repurposing | Dec 3, 2023 | Drug DiscoveryTopological Data Analysis | CodeCode Available | 0 |
| Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources | Nov 23, 2024 | Data IntegrationDrug Discovery | CodeCode Available | 0 |
| BART: Bayesian additive regression trees | Jun 19, 2008 | Causal InferenceDrug Discovery | CodeCode Available | 0 |