Sequence Versus Composition: What Prescribes IDP Biophysical Properties?
Open Access
Abstract
Intrinsically disordered proteins (IDPs) represent a distinct class of proteins and are distinguished from globular proteins by conformational plasticity, high evolvability and a broad functional repertoire. Some of their properties are reminiscent of early proteins, but their abundance in eukaryotes, functional properties and compositional bias suggest that IDPs appeared at later evolutionary stages. The spectrum of IDP properties and their determinants are still not well defined. This study compares rudimentary physicochemical properties of IDPs and globular proteins using bioinformatic analysis on the level of their native sequences and random sequence permutations, addressing the contributions of composition versus sequence as determinants of the properties. IDPs have, on average, lower predicted secondary structure contents and aggregation propensities and biased amino acid compositions. However, our study shows that IDPs exhibit a broad range of these properties. Induced fold IDPs exhibit very similar compositions and secondary structure/aggregation propensities to globular proteins, and can be distinguished from unfoldable IDPs based on analysis of these sequence properties. While amino acid composition seems to be a major determinant of aggregation and secondary structure propensities, sequence randomization does not result in dramatic changes to these properties, but for both IDPs and globular proteins seems to fine-tune the tradeoff between folding and aggregation.Keywords
Funding Information
- Grantová Agentura České Republiky (17-10438Y)
- National Grid (CESNET LM2015042)
- ELIXIR CZ (LM2015047)
- Ministerstvo Školství, Mládeže a Tělovýchovy (CZ.02.1.01/0.0/0.0/16_019/0000729)
This publication has 27 references indexed in Scilit:
- DisProt 7.0: a major update of the database of disordered proteinsNucleic Acids Research, 2016
- The contribution of intrinsically disordered regions to protein function, cellular complexity, and human diseaseBiochemical Society Transactions, 2016
- Paradoxes and wonders of intrinsic disorder: Complexity of simplicityIntrinsically Disordered Proteins, 2016
- Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteinsBioinformatics, 2015
- Classification of Intrinsically Disordered Regions and ProteinsChemical Reviews, 2014
- The alphabet of intrinsic disorderIntrinsically Disordered Proteins, 2013
- Sequence complexity of disordered proteinProteins: Structure, Function, and Bioinformatics, 2000
- Protein secondary structure prediction based on position-specific scoring matrices 1 1Edited by G. Von HeijneJournal of Molecular Biology, 1999
- Seventy-five percent accuracy in protein secondary structure predictionProteins: Structure, Function, and Bioinformatics, 1997
- Quantification of secondary structure prediction improvement using multiple alignmentsProtein Engineering, Design and Selection, 1993