Machine Learning Optimization of Candidate Antibodies Yields Highly Diverse Sub-nanomolar Affinity Antibody Libraries
收藏Figshare2023-06-13 更新2026-04-08 收录
下载链接：
https://springernature.figshare.com/articles/dataset/Machine_Learning_Optimization_of_Candidate_Antibodies_Yields_Highly_Diverse_Sub-nanomolar_Affinity_Antibody_Libraries/22732268
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资源简介：
This is the Data Source file for the paper "Machine Learning Optimization of Candidate Antibody Yields Highly Diverse Sub-nanomolar Affinity Antibody Libraries"
提供机构：
Bepler, Tristan; Gupta, Esther; Walsh, Matthew; Jaimes, Rafael; Li, Lin; Engelhart, Emily; Spaeth, John; Lopez, Randolph; Caceres, Rajmonda; Shing, Leslie
创建时间：
2023-06-13
