Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning

Data underlying the figures in the publication “Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning” published in <em>Nat Biomed Eng, <strong>2021,</strong> https://doi.org/10.1038/s41551-021-00699-9</em> The dataset contains a .zip folder with the scripts to perform therapeutic antibody optimization with deep learning, as described in Mason et al., 2019 [https://doi.org/10.1101/617860]. The detail description of the code availability, preparation, and usage can be found in the following github repository: https://github.com/dahjan/DMS_opt.本数据集为发表于《自然·生物医学工程》（Nat Biomed Eng）2021年，DOI: 10.1038/s41551-021-00699-9的论文《通过深度学习（deep learning）从抗体序列预测抗原特异性以优化治疗性抗体（therapeutic antibodies）》中配图所依托的数据。该数据集包含一个ZIP压缩文件夹，内含用于开展深度学习辅助治疗性抗体优化的代码脚本，相关方法对应Mason等人2019年的研究[DOI: 10.1101/617860]。关于代码的可用性说明、制备流程与使用方法的详细描述，可参见以下GitHub仓库：https://github.com/dahjan/DMS_opt。