21 potential binding sites of YTHDF2 protein on TUG1 RNA.

NIAID Data Ecosystem2026-05-02 收录

RNA结合位点预测

m6A阅读蛋白相互作用

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https://figshare.com/articles/dataset/21_potential_binding_sites_of_YTHDF2_protein_on_TUG1_RNA_/28857636 数据链接链接失效反馈

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21 potential binding sites of YTHDF2 protein on TUG1 RNA.

21个YTHDF2蛋白（YTHDF2 protein）在TUG1核糖核酸（TUG1 RNA）上的潜在结合位点

创建时间：

2025-04-24

Additional file 2 of Deep neural networks for inferring binding sites of RNA-binding proteins by using distributed representations of RNA primary sequence and secondary structure

RNA结合位点预测

RNA-蛋白质相互作用

Additional file 2 The file includes the performance measures of competitive methods on the RBP-31 dataset. The AUCs of using DeepRKE- and without RNA secondary structure sequence, as well as the AUC v

NIAID Data Ecosystem90

Additional file 6 of Multi-resBind: a residual network-based multi-label classifier for in vivo RNA binding prediction and preference visualization

RNA结合位点预测

计算生物学模型

Additional file 6: File S5. Performance comparison of AP scores using different types of input data and their combinations under the Multi-resBind model. Structural profiles consisting of six categori

Figshare2021-11-16 更新70

Additional file 4 of Predicting protein-binding regions in RNA using nucleotide profiles and compositions

RNA结合位点预测

蛋白质-RNA相互作用

6 training datasets with different ratios of positive to negative instances. 6 training datasets with different ratios of positive to negative instances (called 1:1, 1:2, 1:4, 1:6, 1:8 and 1:10 traini

Figshare2017-03-16 更新60

Additional file 7 of Multi-resBind: a residual network-based multi-label classifier for in vivo RNA binding prediction and preference visualization

RNA结合位点预测

性能评估

Additional file 7: File S6. Performance comparison of AUROC scores using different loss functions under the Multi-resBind model.

DataCite Commons2021-11-16 更新80

Additional file 5 of KDeep: a new memory-efficient data extraction method for accurately predicting DNA/RNA transcription factor binding sites

RNA结合位点预测

计算生物学

Additional file 5: Performance comparison of KDeep against other RBP-site predictors on the RBP-31 dataset. The evaluation includes DeepRKE-, DeepRKE+, GraphProt, iDeepV, DeepBind, iONMF, and iDeepS.

Figshare2024-08-14 更新60

21 potential binding sites of YTHDF2 protein on TUG1 RNA.

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