Re-Assessment of Pathogenicity of SAVs based On Dynamics

This tool provides a prediction of pathogenicity for Single Amino acid Variants (SAVs) by employing a Random Forest classifier trained on both sequence-based and structural/dynamical features. Please cite: Ponzoni Luca and Ivet Bahar, "Structural dynamics is a determinant of the functional significance of missense variants." PNAS (2018): 201715896.

New version available!
This webserver is no longer actively maintained, but a new implementation of the algorithm (Rhapsody) is now available at rhapsody.csb.pitt.edu. This new version adds several new functionalities and an improved, more user-friendly interface, see relative publication (Bioinformatics, Feb 2020). Check it out!

Option 1: Get predictions based on both
sequence-based and structural/dynamical features,
by uploading a:
PolyPhen-2 output file (see instructions - 25MB max)

Option 2: Alternatively, you can get predictions
based only on structural/dynamical features.
2.1: single query (e.g.: P17516 135 G E)
2.2: batch query

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