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Welcome to the MAPD!

This web platform incorporates protein-intrinsic features, MAPD scores (predicted degradability), E2 accessibility of Ub sites in select kinases, ligandability, and disease associations. It enbales rational prioritization of degradable targets for developing degraders by the TPD community.


Use this platform to:

Prioritization: prioritize tractable targets for developing protein degraders

Features: explore features intrinsic to protein targets

UBs: check characteristics (e.g., E2 accessibility) of ubiquitination sites in select kinases

Downloads: download all relevant data

External link: access other relevant databases


To reproduce or extend our analysis, please visit HERE .



Cite us!

Wubing Zhang*, Shourya S. Roy Burman*, Jiaye Chen, Katherine A. Donovan, Yang Cao, Boning Zhang, Zexian Zeng, Yi Zhang, Dian Li, Eric S. Fischer#, Collin Tokheim#, X. Shirley Liu#. Machine learning modeling of protein-intrinsic features predicts tractability of targeted protein degradation. bioRxiv 2021 [DOI]

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Features


Download Table of Features used for Prediction


Download Table of Feature Description


Degradability & Ligandability


Download Table of Protein Degradability & Ligandability


Download Column Description of Protein Degradability & Ligandability


E2 Accessibility


Download Table of E2 Accessibility


Download Column Description of E2 Accessibility


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