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Predicted interactions between disease/disorder classes and human proteins.

NIAID Data Ecosystem2026-05-02 收录

数据链接：

https://figshare.com/articles/dataset/Predicted_interactions_between_disease_disorder_classes_and_human_proteins_/28018015 数据链接链接失效反馈

官方服务：

资源简介：

PUBMED ID is shown as validation of the identified predicted interactions.

应用场景：

创建时间：

2024-12-12

蛋白质相互作用

生物信息学

This event has been computationally inferred from an event that has been demonstrated in another species. The inference is based on the homology mapping from PANTHER. Briefly, reactions for which al

reactome.org90

Table 5_Successful prediction of LC8 binding to intrinsically disordered proteins sheds light on AlphaFold’s black box.xlsx

蛋白质相互作用

结构生物信息学

IntroductionLC8 is a hub protein involved in many processes from tumor suppression and cell cycle regulation to neurotransmission and viral infection. Despite recent progress, prediction of binding si

NIAID Data Ecosystem00

Supplementary Data Files for the paper "Intrinsically disordered compositional bias in proteins: Sequence traits, region clustering, and generation of hypothetical functional associations"

蛋白质内在无序区域预测

蛋白质功能关联预测

Supplementary data files relating to https://doi.org/10.1177/11779322241287485. Suppl. File 1: Protein Family Clusters. Suppl. File 2: Cluster GO enrichments/depletions. Suppl. File 3: The raw ID

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Validation by comparing NBEL algorithm with naïve Bayes via two human datasets.

蛋白质相互作用

算法验证

In table 3, indicates the total number of protein pairs in a database that are overlapped with our collected 79,441 human PPIs; indicates the number of protein pairs in that are predicted by NBEL;

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Gene ontology analysis of cellular localization of proteins containing motif K/R-x(3,7)-K-x-K/R in their intrinsically disordered regions.

蛋白质内在无序区域预测

细胞定位

Gene ontology analysis of cellular localization of proteins containing motif K/R-x(3,7)-K-x-K/R in their intrinsically disordered regions.

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