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Machine-learning-assisted universal protein activation in living mice

NIAID Data Ecosystem2026-05-02 收录

活体蛋白质激活

机器学习辅助蛋白质工程

数据链接：

https://data.mendeley.com/datasets/7hmd38vwsw 数据链接链接失效反馈

官方服务：

资源简介：

Raw data in figure 1 to 6, figure S2-S6

应用场景：

创建时间：

2025-05-19

酶发现与设计

机器学习辅助蛋白质工程

To complement established rational and evolutionary protein design approaches, significant efforts are being made to utilize computational modeling and the diversity of naturally occurring protein seq

NIAID Data Ecosystem20

Structure-augmented MLDE

蛋白质定向进化

机器学习辅助蛋白质工程

Supplementary Files for Structure-augmented MLDE for GB1

NIAID Data Ecosystem00

T33-ml35 - Designed Tetrahedral Protein Cage Using Machine Learning Algorithms

蛋白质笼设计

机器学习辅助蛋白质工程

T33-ml35 - Designed Tetrahedral Protein Cage Using Machine Learning Algorithms Descriptor: T33-ml35-redesigned-CutA-fold, T33-ml35-redesigned-TPR-domain-fold Authors: Castells-Graells, R, Meador, K, S

Protein Data Bank Japan2024-06-19 更新00

Design of custom CRISPR-Cas9 PAM variant enzymes via machine learning

CRISPR-Cas9定制化酶设计

机器学习辅助蛋白质工程

Engineering and characterizing proteins can be time-consuming and cumbersome, motivating previous efforts to develop CRISPR-Cas enzymes with generalist properties to facilitate diverse genome editing

NIAID Data Ecosystem00

Machine-learning-assisted universal protein activation in living mice

资源简介：

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