Introduction

APD (Assessment of Predicted Distances) is for predicted distance evaluation. Significant progress has been achieved in distance-based protein folding, due to improved prediction of inter-residue distance by deep learning. Many efforts are thus made to improve distance prediction in recent years. However, it remains unknown what is the best way of objectively assessing the accuracy of predicted distance. Here, we sought to address this issue in a systematic way. Read more about APD...

The major results returned include (click here for an example):

• Information of the native structure
• Assessment in three different cases, i.e., prediction-oriented, native-oriented, and full-list
• Visualization of predicted and native distance map

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Provide the predicted distance (mandatory)

Input the predicted distance in CASP format below. Click here for an example

Or upload predicted distance file:

Provide the protein structure (mandatory)

Input the protein structure in PDB format below. Click here for an example

Or upload the PDB file:

Other information (optional)

Email: (Optional, where the results will be sent to)

Job name: (Optional, your given name to this job)

Keep my results private (check this box if you want to keep your job private. A key will be assigned for you to access the results.)

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News

07/01/2021: The APD server was established.
( >> read more ... ).

Reference

Z Du, Z Peng, J Yang, Toward the assessment of predicted inter-residue distance, Bioinformatics, 38: 962-969 (2022).