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KSTAR v1 Networks and Pregenerated Activities

NIAID Data Ecosystem2026-05-02 收录

酶底物预测

数据链接：

https://figshare.com/articles/dataset/KSTAR_v1_Networks_and_Pregenerated_Activities/28352342 数据链接链接失效反馈

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资源简介：

KSTAR Networks (NetworKIN based) with the new pregenerated background activity lists released in v1.0 of KSTAR

应用场景：

创建时间：

2025-02-05

酶底物预测

蛋白质功能

BackgroundProteases play a central role in cellular homeostasis and are responsible for the spatio- temporal regulation of function. Many putative proteases have been recently identified through genom

NIAID Data Ecosystem50

Enzyme Substrate Prediction from Three-Dimensional Feature Representations Using Space-Filling Curves

酶底物预测

酶功能分类

Compact and interpretable structural feature representations are required for accurately predicting properties and function of proteins. In this work, we construct and evaluate three-dimensional featu

NIAID Data Ecosystem50

Overview of predictive algorithms.

磷酸化预测

酶底物预测

The name, Pubmed link, and details about the availability and details of 49 predictive algorithms of phosphorylation and kinase-substrate relationships. (XLSX)

Figshare2021-02-08 更新30

A domain classification with an ensemble of HMMs.

蛋白质结构域分析

酶底物预测

The first column lists the different substrates and the number of sequences analyzed (between brackets). The second column lists the number of correctly classified sequences by our ensemble of HMMs, f

NIAID Data Ecosystem50

Kinase substrate predictions.

酶底物预测

蛋白质磷酸化分析

*Shown are the 5 human protein kinases that are most likely to phosphorylate each of the designated phosphosites. Kinase prediction scores are shown in parentheses. The higher the kinase prediction sc

Figshare2015-12-02 更新40

KSTAR v1 Networks and Pregenerated Activities

资源简介：

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