Data Archive for: "De novo design of self-assembling peptides with antimicrobial activity guided by deep-learning"
收藏科学数据银行2024-12-27 更新2026-04-23 收录
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https://www.scidb.cn/detail?dataSetId=9f25bfd1deb44d8497d59036c3636437
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资源简介：
TransSAFP is a self-attention based neural network that predicts antimicrobial label of self-assembling functional peptides. This data repository contains the model source codes and the data accompanying this study. See also: https://github.com/LiuHuayang27/TransSAFP
提供机构：
Zilin Song; Huayang Liu; Westlake University; Huaimin Wang
创建时间：
2024-12-26
