首页/数据集/Graph attention with structural features improves the generalizability of identifying functional sequences at a protein interface

Graph attention with structural features improves the generalizability of identifying functional sequences at a protein interface

NIAID Data Ecosystem2026-05-10 收录

蛋白质功能预测

蛋白质界面

数据链接：

https://www.ncbi.nlm.nih.gov/sra/SRP451822 数据链接链接失效反馈

官方服务：

资源简介：

Sequences from sorted libraries in the paper

应用场景：

创建时间：

2025-10-31

蛋白质功能预测

ELMo嵌入

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

The results of DCN-based aggregated neighbor-counting method on 66 randomly selected proteins.

蛋白质功能预测

The ways of calculating precision and recall can be found at the captions of Table 4 and Table 3, respectively. Explanations of the best semantic similarity score can be found at the caption of Table

NIAID Data Ecosystem30

α‑Helix-Mediated Protein Adhesion

蛋白质界面

蛋白质纳米薄膜

Proteins have been adopted by natural living organisms to create robust bioadhesive materials, such as biofilms and amyloid plaques formed in microbes and barnacles. In these cases, β-sheet stacking i

NIAID Data Ecosystem20

LDHU3_10.1220

蛋白质功能预测

利什曼原虫基因组注释

Hypothetical protein - conserved; Leishmania donovani (HU3 strain)

Mendeley Data80

Selected orthogonal interface sequences from setup-scheme 1.

蛋白质界面

多状态设计优化

Sequences, energies (in REUs), and RMSD's of designs created multistate design (MSD). All of the MSD designs shown have binding energy gaps between the positive and negative states greater than 10 REU

NIAID Data Ecosystem20

Graph attention with structural features improves the generalizability of identifying functional sequences at a protein interface

资源简介：

相关数据集