Ye-Hong Yang1, Jun-Tao Yang1,2, Jiang-Feng Liu1,2

  • 1State Key Laboratory of Common Mechanism Research for Major Diseases, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, No.5, Dongdan 3, Dongcheng District Municipality of Beijing, Beijing 100005, China.

Briefings in bioinformatics
|February 22, 2024
PubMed
概括

通过结合序列和3D结构特征,改善了氨酸乳化 (Kla) 预测. 新的模型,ABFF-Kla和EBFF-Kla,提供了比仅序列的方法更好的性能,用于Kla地点的识别.

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