Nat. Mach. Intell.｜浙江大学陈华钧等：根据人类的指示理解和设计生物分子的多模态大语言模型
"药物发现" 相关文章
Programmable Virtual Humans Toward Human Physiologically-Based Drug Discovery
AI，还有一个大漏
Science | 微软公司开源发布生成式AI模型BioEmu，可快速、精准预测蛋白质多种构象状态
AI智能体是否可以自主设计，并实施完整的药物发现流程
npj Drug Discov｜上海科技大学白芳等：分子表征方法的最新进展及其在骨架跃迁中的应用
Assay2Mol: large language model-based drug design using BioAssay context
微软研究院BioEmu登上Science，用生成式AI重塑蛋白质功能研究
ToxBench: A Binding Affinity Prediction Benchmark with AB-FEP-Calculated Labels for Human Estrogen Receptor Alpha
Unraveling the Potential of Diffusion Models in Small Molecule Generation
微软研究院BioEmu登上Science，用生成式AI重塑蛋白质功能研究
Pullback Flow Matching on Data Manifolds
Structure-Aware Compound-Protein Affinity Prediction via Graph Neural Network with Group Lasso Regularization
MolProphecy: Bridging Medicinal Chemists' Knowledge and Molecular Pre-Trained Models via a Multi-Modal Framework
Artificial intelligence in drug discovery: A comprehensive review with a case study on hyperuricemia, gout arthritis, and hyperuricemic nephropathy
A Scalable and Quantum-Accurate Foundation Model for Biomolecular Force Field via Linearly Tensorized Quadrangle Attention
Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep Molecular Understanding
Nat. Biomed. Eng. | 深度生成模型解密复杂疾病的细胞动力学与虚拟药物发现
静5前沿讲座回顾 | 刘凯博士谈AI4Science：面向科学探索的基础模型与产业应用
Evogene and Google Cloud Unveil Foundation Model for Generative Molecule Design, Pioneering a New Era in Life-Science AI
