| Literature DB >> 30793871 |
Michael Vincent1, Vladimir N Uversky2,3, Santiago Schnell4,5.
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.Entities:
Keywords: bioinformatics; computational biology; intrinsically disordered proteins; protein sequences; protein structures; proteomics
Mesh:
Substances:
Year: 2019 PMID: 30793871 PMCID: PMC6571172 DOI: 10.1002/pmic.201800415
Source DB: PubMed Journal: Proteomics ISSN: 1615-9853 Impact factor: 3.984