2024年2月26日 · 预测对齐误差( Predicted Aligned Error，PAE )是AlphaFold系统的另一个输出结果。 AlphaFold DB提供给结构PAE的图片和数据.json文件。 它表示如果预测结构和实际结构 …

The Predicted Aligned Error (PAE) is a quantitative output produced by AlphaFold, a protein structure prediction system developed by DeepMind. [1] PAE estimates the expected …

pae（Predicted Aligned Error，预测对齐误差）:PAE表示预测的残基对之间的平均距离误差，用于评估预测模型的精度。较低的PAE 值通常意味着 预测的结构与实际结构更为接近。

2024年2月15日 · pTM (predicted template modeling) 是另一种置信度指标，取值0-1，也是越高越可信。tol是与上一轮循环model的RMSD (root-mean-square deviation)，表示两轮循环结果的 …

Predicted aligned error (PAE) is a measure of how confident AlphaFold2 is in the relative position of two residues within the predicted structure. PAE is defined as the expected positional error …

第二个度量是 PAE （预测对齐误差），当预测和真实结构在残基y上对齐时，它报告AlphaFold在残基x处的预期位置误差。这对于评估对全局特征（尤其是域包装）的信心很有用。

2022年6月23日 · We show that PAE maps from AF2 are correlated with the distance variation (DV) matrices from molecular dynamics (MD) simulations, which reveals that the PAE maps …

The “predicted aligned error” or PAE values can be shown as a 2D plot using the command alphafold pae (details below), the AlphaFold Error Plot tool, alphafold fetch or alphafold match …

2024年6月18日 · Our PAE model is specifically designed to maintain crucial protein symmetries, particularly rotation and translation, through carefully chosen architectural features. To …

The PAE is a two-stage generative model, composed of an Auto-Encoder (AE) that is interpreted probabilistically after training with a Normalizing Flow (NF). The AE compresses the data and …