Overview Update: Computational Prediction of Intrinsic Disorder in Proteins

Author:

Uversky Vladimir N.1,Kurgan Lukasz2

Affiliation:

1. Department of Molecular Medicine and USF Health Byrd Alzheimer's Research Institute, Morsani College of Medicine University of South Florida Tampa Florida

2. Department of Computer Science Virginia Commonwealth University Richmond Virginia

Abstract

AbstractThere are over 100 computational predictors of intrinsic disorder. These methods predict amino acid‐level propensities for disorder directly from protein sequences. The propensities can be used to annotate putative disordered residues and regions. This unit provides a practical and holistic introduction to the sequence‐based intrinsic disorder prediction. We define intrinsic disorder, explain the format of computational prediction of disorder, and identify and describe several accurate predictors. We also introduce recently released databases of intrinsic disorder predictions and use an illustrative example to provide insights into how predictions should be interpreted and combined. Lastly, we summarize key experimental methods that can be used to validate computational predictions. © 2023 Wiley Periodicals LLC.

Funder

National Science Foundation

Publisher

Wiley

Subject

Medical Laboratory Technology,Health Informatics,General Pharmacology, Toxicology and Pharmaceutics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Neuroscience

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