TonyKYLim/CysPresso
收藏Hugging Face2023-03-04 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/TonyKYLim/CysPresso
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资源简介:
CysPresso数据集采用机器学习方法,基于一级序列预测富含半胱氨酸的肽在哺乳动物细胞中的重组表达性,并且与深度学习解决方案生成的多种蛋白质表示兼容。
The CysPresso Dataset utilizes machine learning approaches to predict the recombinant expressibility of cysteine-rich peptides in mammalian cells based on their primary sequences, and is compatible with diverse protein representations generated by deep learning-based solutions.
提供机构:
TonyKYLim
原始信息汇总
数据集概述
数据集名称
CysPresso
数据集目的
预测哺乳动物细胞中富含半胱氨酸肽的重组表达能力,基于其一级序列,兼容由深度学习解决方案生成的多种蛋白质表示类型。
相关论文
论文标题:CysPresso: Prediction of cysteine-dense peptide expression in mammalian cells using deep learning protein representations 预印本链接:https://www.biorxiv.org/content/10.1101/2022.09.17.508377v1



