Using protein language models for protein interaction hot spot prediction with limited data.
利用蛋白質語言模型進行有限數據下的蛋白質相互作用熱點預測。
BMC Bioinformatics 2024-03-19
ProtAgents: protein discovery <i>via</i> large language model multi-agent collaborations combining physics and machine learning.
ProtAgents: 透過結合物理學與機器學習的大型語言模型多智能體協作,進行蛋白質發現。
Digit Discov 2024-07-12
Leveraging a large language model to predict protein phase transition: A physical, multiscale, and interpretable approach.
利用大型語言模型預測蛋白質相變:一種物理、多尺度和可解釋的方法。
Proc Natl Acad Sci U S A 2024-08-07
Comprehensive prediction and analysis of human protein essentiality based on a pretrained large language model.
基於預訓練大型語言模型的人類蛋白質必要性綜合預測與分析。
Nat Comput Sci 2024-11-28
Improving functional protein generation via foundation model-derived latent space likelihood optimization.
透過基礎模型衍生的潛在空間似然優化來改善功能性蛋白質生成。
bioRxiv 2025-01-20