Document Type
Article
Publication Date
2019
Keywords
bioinformatics, computational biology, intrinsically disordered proteins, protein sequences, protein structures, proteomics
Digital Object Identifier (DOI)
https://doi.org/10.1002/pmic.201800415
Abstract
Since the early 2000s, numerous computational tools have been created and used to predict intrinsic disorder in proteins. At present, the output from these algorithms is difficult to interpret in the absence of standards or references for comparison. There are many reasons to establish a set of standard-based guidelines to evaluate computational protein disorder predictions. This viewpoint explores a handful of these reasons, including standardizing nomenclature to improve communication, rigor and reproducibility, and making it easier for newcomers to enter the field. An approach for reporting predicted disorder in single proteins with respect to whole proteomes is discussed. The suggestions are not intended to be formulaic; they should be viewed as a starting point to establish guidelines for interpreting and reporting computational protein disorder predictions.
Rights Information
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Proteomics, v. 19, issue 6, art. 1800415
This is the peer reviewed version of the following article: Vincent, M., Uversky, V. N., Schnell, S., On the Need to Develop Guidelines for Characterizing and Reporting Intrinsic Disorder in Proteins. Proteomics 2019, 19, 1800415, which has been published in final form at 10.1002/pmic.201800415. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Scholar Commons Citation
Vincent, Michael; Uversky, Vladimir N.; and Schnell, Santiago, "On the Need to Develop Guidelines for Characterizing and Reporting Intrinsic Disorder in Proteins" (2019). Molecular Medicine Faculty Publications. 47.
https://digitalcommons.usf.edu/mme_facpub/47
