Showing 21–40 of 55 results
/ Date/ Name
Feb 27, 2024BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task TuningFeb 22, 2024MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein EmbeddingFeb 13, 2024PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction PredictionDec 17, 2023CLDR: Contrastive Learning Drug Response Models from Natural Language SupervisionNov 27, 2023Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule GenerationOct 18, 2023De novo protein design using geometric vector field networksOct 5, 2023Zero-shot Learning of Drug Response Prediction for Preclinical Drug ScreeningJun 19, 2023SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug DesignMay 18, 2023Knowledge-based Integration of Multi-Omic Datasets with Anansi: Annotation-based Analysis of Specific InteractionsApr 20, 2023Scaling the leading accuracy of deep equivariant models to biomolecular simulations of realistic sizeDec 3, 2022TIDAL: Topology-Inferred Drug Addiction LearningNov 23, 2022Supervised Pretraining for Molecular Force Fields and Properties PredictionJul 26, 2022Predicting biosignatures for nutrient limited biospheresJul 6, 2022Hyperbolic Molecular Representation Learning for Drug RepositioningJun 27, 2022A fully differentiable ligand pose optimization framework guided by deep learning and traditional scoring functionsJun 24, 2022PSP: Million-level Protein Sequence Dataset for Protein Structure PredictionJun 17, 2021Large-Scale Chemical Language Representations Capture Molecular Structure and PropertiesJun 14, 2021Machine Learning Implicit Solvation for Molecular DynamicsJun 4, 2021Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug DiscoveryNov 20, 2020Ollivier persistent Ricci curvature (OPRC) based molecular representation for drug design