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Predicting Functions of Disordered Proteins with MoRFpred

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Computational Methods in Protein Evolution

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1851))

Abstract

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 http://biomine.cs.vcu.edu/servers/MoRFpred/. 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.

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Authors and Affiliations

  1. Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA

    Christopher J. Oldfield & Lukasz Kurgan

  2. Department of Molecular Medicine and USF Health Byrd Alzheimer’s Research Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA

    Vladimir N. Uversky

  3. Institute for Biological Instrumentation, Russian Academy of Sciences, Moscow Region, Russia

    Vladimir N. Uversky

Authors
  1. Christopher J. Oldfield
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  2. Vladimir N. Uversky
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  3. Lukasz Kurgan
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Correspondence to Vladimir N. Uversky or Lukasz Kurgan .

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Editors and Affiliations

  1. GlaxoSmithKline, Cellzome – a GSK company Meyerhofstrasse 1, Heidelberg, Baden-Württemberg, Germany

    Tobias Sikosek

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Oldfield, C.J., Uversky, V.N., Kurgan, L. (2019). Predicting Functions of Disordered Proteins with MoRFpred. In: Sikosek, T. (eds) Computational Methods in Protein Evolution. Methods in Molecular Biology, vol 1851. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8736-8_19

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  • DOI: https://doi.org/10.1007/978-1-4939-8736-8_19

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