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资源简介：
Uncharacterized protein
未表征蛋白质（Uncharacterized protein）
应用场景：
创建时间：
2018-10-22
相关数据集
Protein-FN/Protein-FN
Protein-FN数据集是一个专门为蛋白质功能预测、基序识别和发现等生物学任务设计的蛋白质功能数据集。它包含了来自蛋白质数据库PDB的9014个蛋白质的多样化1D氨基酸序列、3D蛋白质结构以及功能性质。这些蛋白质经过生物专家团队的检查，分为六类：蛋白酶、激酶、受体、碳酸酐酶、磷酸酶和异构酶。其中，激酶、磷酸酶、蛋白酶和受体在信号传导中扮演关键角色，大多数药物都作用于参与信号传导的蛋白质。异构酶和
Hugging Face2025-05-28 更新110
Confirmed and predicted [Fe-S] cluster-containing proteins in Plasmodium.
aGene IDs of the P. berghei and P. falciparum orthologs and the predicted localizations of the proteins were retrieved from PlasmoDB (http://PlasmoDB.org) or identified by similarity searches using A.
Figshare2015-12-02 更新10
Protein function prediction using pre-trained ELMO embeddings
This dataset includes the data for training the protein function prediction models at github.com/stamakro/GCN-for-Structure-and-Function. For each protein, a pickle file is provided, containing its se
Mendeley Data2024-03-27 更新100
Identification of phosphosites that alter protein thermal stability
We developed a robust method termed Dali that identifies phosphorylation events that alter protein thermal stability as a proxy for function.
NIAID Data Ecosystem20
