Method for developing high-affinity capture antibody EpCAM based on AI algorithm

The invention relates to a method for developing a high-affinity capture antibody EpCAM based on an AI algorithm. Comprising the following steps: S1, constructing an initial DNA sample library; s2, determining the affinity of the initial DNA sample library; s3, performing clustering analysis on the affinity of the initial DNA sample library; s4, constructing an amplified DNA sample library and an amplification tree; s5, affinity screening based on an AI algorithm; s6, determining a target DNA sequence; s7, sequencing the target DNA sequence; according to the method, the breadth-first algorithm commonly used in the AI algorithm is adopted for the high-affinity group, and the flood filling algorithm commonly used in the AI algorithm is adopted for the low-affinity group, so that limited resources can be input into the branch which is most likely to screen out higher affinity, and the screening efficiency is ensured. 本发明涉及基于AI算法开发高亲和力捕获抗体EpCAM的方法；包括：S1、构建初始DNA样本库；S2、测定初始DNA样本库亲和力；S3、初始DNA样本库亲和力的聚类分析；S4、构建扩增DNA样本