Predicting Functions of Disordered Proteins with MoRFpred

  • Christopher J. Oldfield
  • Vladimir N. UverskyEmail author
  • Lukasz KurganEmail author
Part of the Methods in Molecular Biology book series (MIMB, volume 1851)


Intrinsically disordered proteins and regions are involved in a wide range of cellular functions, and they often facilitate protein-protein interactions. Molecular recognition features (MoRFs) are segments of intrinsically disordered regions that bind to partner proteins, where binding is concomitant with a transition to a structured conformation. MoRFs facilitate translation, transport, signaling, and regulatory processes and are found across all domains of life. A popular computational tool, MoRFpred, accurately predicts MoRFs in protein sequences. MoRFpred is implemented as a user-friendly web server that is freely available at We describe this predictor, explain how to run the web server, and show how to interpret the results it generates. We also demonstrate the utility of this web server based on two case studies, focusing on the relevance of evolutionary conservation of MoRF regions.

Key words

Intrinsic disorder Prediction Molecular recognition features MoRFs Protein-protein interactions MoRFpred 


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Authors and Affiliations

  1. 1.Department of Computer ScienceVirginia Commonwealth UniversityRichmondUSA
  2. 2.Department of Molecular Medicine and USF Health Byrd Alzheimer’s Research Institute, Morsani College of MedicineUniversity of South FloridaTampaUSA
  3. 3.Institute for Biological Instrumentation, Russian Academy of SciencesMoscow RegionRussia

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