Predicted Aligned Error

The Predicted Aligned Error (PAE) is a quantitative output produced by AlphaFold, a protein structure prediction system developed by DeepMind, and other similar programs. During training, the aligned error between two residues, i and j is calculated by aligning the predicted N, Cα, and C atoms of residue i onto the same atoms in the experimental structure in the training data, and measuring the resulting distance between the predicted position of the Cα atom of residue j and the experimental position of that atom.

Source: Wikipedia — Predicted Aligned Error (CC BY-SA 4.0)

Predicted Aligned Error

The Predicted Aligned Error (PAE) is a quantitative output produced by AlphaFold, a protein structure prediction system developed by DeepMind, and other similar programs. During training, the aligned error between two residues, i and j is calculated by aligning the predicted N, Cα, and C atoms of residue i onto the same atoms in the experimental structure in the training data, and measuring the resulting distance between the predicted position of the Cα atom of residue j and the experimental position of that atom.

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Source: Wikipedia "Predicted Aligned Error" · CC BY-SA 4.0

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