How to Predict Disorder in a Protein of Interest
Document Type
Book Chapter
Publication Date
2017
Keywords
Intrinsically Disordered Protein, Protein Function, Prediction, Posttranslational Modification, Protein–protein Interaction
Digital Object Identifier (DOI)
https://doi.org/10.1007/978-1-4939-6406-2_11
Abstract
Currently available computational tools, which are many, provide a researcher with the multitude of options for prediction of intrinsic disorder in a protein of interest and for finding at least some of its disorder-based functions. This chapter provides a highly subjective guideline on how not to be lost in the “dark forest” of available tools for the analysis of intrinsic disorder. By no means it gives a unique pathway through this forest, but simply presents some of the tools the author uses in his everyday research.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
How to Predict Disorder in a Protein of Interest, in Y. Zhou, A. Kloczkowski, E. Faraggi & Y. Yang (Eds.), Prediction of Protein Secondary Structure, Humana Press, p. 137-158
Scholar Commons Citation
Uversky, Vladimir N., "How to Predict Disorder in a Protein of Interest" (2017). Molecular Medicine Faculty Publications. 1097.
https://digitalcommons.usf.edu/mme_facpub/1097
