国家科学评论（英文版）2025，Vol.12Issue(6)：19-30,12.DOI:10.1093/nsr/nwaf231
Reliable prediction of protein-protein binding affinity changes upon mutations with Pythia-PPI
Reliable prediction of protein-protein binding affinity changes upon mutations with Pythia-PPI
Fangting Tao 1Jinyuan Sun 2Pengyue Gao 3George Fu Gao 3Bian Wu4
作者信息
- 1. Division of Life Sciences and Medicine,University of Science and Technology of China,Hefei 230026,China||Laboratory of Pathogen Microbiology and Immunology,Institute of Microbiology,Chinese Academy of Sciences,Beijing 100101,China||AIM center,College of Life Sciences and Technology,Beijing University of Chemical Technology,Institute of Microbiology,Chinese Academy of Sciences,Beijing 100029,China
- 2. AIM center,College of Life Sciences and Technology,Beijing University of Chemical Technology,Institute of Microbiology,Chinese Academy of Sciences,Beijing 100029,China||College of Life Sciences,University of Chinese Academy of Sciences,Beijing 100049,China||State Key Laboratory of Microbial Diversity and Innovative Utilization,Institute of Microbiology,Chinese Academy of Sciences,Beijing 100101,China
- 3. Division of Life Sciences and Medicine,University of Science and Technology of China,Hefei 230026,China||Laboratory of Pathogen Microbiology and Immunology,Institute of Microbiology,Chinese Academy of Sciences,Beijing 100101,China
- 4. AIM center,College of Life Sciences and Technology,Beijing University of Chemical Technology,Institute of Microbiology,Chinese Academy of Sciences,Beijing 100029,China||State Key Laboratory of Green Biomanufacturing,Beijing University of Chemical Technology,Beijing 100029,China
- 折叠
摘要
关键词
AI for microbiology/protein-protein interaction/protein engineering/machine learningKey words
AI for microbiology/protein-protein interaction/protein engineering/machine learning引用本文复制引用
Fangting Tao,Jinyuan Sun,Pengyue Gao,George Fu Gao,Bian Wu..Reliable prediction of protein-protein binding affinity changes upon mutations with Pythia-PPI[J].国家科学评论（英文版）,2025,12(6):19-30,12.基金项目
This work was supported by the National Key R&D Program of China(2024YFC3405500),the Fundamental Research Funds for the Central Universities(buctrc202539)and the National Natural Science Foundation of China(32170033,32225002 and 32422001). （2024YFC3405500）
