Abundance of intrinsic disorder in protein associated with cardiovascular disease
- PMID: 16939197
- DOI: 10.1021/bi060981d
Abundance of intrinsic disorder in protein associated with cardiovascular disease
Abstract
Evidence that many protein regions and even entire proteins lacking stable tertiary and/or secondary structure in solution (i.e., intrinsically disordered proteins) might be involved in protein-protein interactions, regulation, recognition, and signal transduction is rapidly accumulating. These signaling proteins play a crucial role in the development of several pathological conditions, including cancer. To test a hypothesis that intrinsic disorder is also abundant in cardiovascular disease (CVD), a data set of 487 CVD-related proteins was extracted from SWISS-PROT. CVD-related proteins are depleted in major order-promoting residues (Trp, Phe, Tyr, Ile, and Val) and enriched in some disorder-promoting residues (Arg, Gln, Ser, Pro, and Glu). The application of a neural network predictor of natural disordered regions (PONDR VL-XT) together with cumulative distribution function (CDF) analysis, charge-hydropathy plot (CH plot) analysis, and alpha-helical molecular recognition feature (alpha-MoRF) indicator revealed that CVD-related proteins are enriched in intrinsic disorder. In fact, the percentage of proteins with 30 or more consecutive residues predicted by PONDR VL-XT to be disordered was 57 +/- 4% for CVD-associated proteins. This value is close that described earlier for signaling proteins (66 +/- 6%) and is significantly larger than the content of intrinsic disorder in eukaryotic proteins from SWISS-PROT (47 +/- 4%) and in nonhomologous protein segments with a well-defined three-dimensional structure (13 +/- 4%). Furthermore, CDF and CH-plot analyses revealed that 120 and 36 CVD-related proteins, respectively, are wholly disordered. This high level of intrinsic disorder could be important for the function of CVD-related proteins and for the control and regulation of processes associated with cardiovascular disease. In agreement with this hypothesis, 198 alpha-MoRFs were predicted in 101 proteins from the CVD data set. A comparison of disorder predictions with the experimental structural and functional data for a subset of the CVD-associated proteins indicated good agreement between predictions and observations. Thus, our data suggest that intrinsically disordered proteins might play key roles in cardiovascular disease.
Similar articles
-
Analysis of molecular recognition features (MoRFs).J Mol Biol. 2006 Oct 6;362(5):1043-59. doi: 10.1016/j.jmb.2006.07.087. Epub 2006 Aug 4. J Mol Biol. 2006. PMID: 16935303
-
Intrinsic disorder in the Protein Data Bank.J Biomol Struct Dyn. 2007 Feb;24(4):325-42. doi: 10.1080/07391102.2007.10507123. J Biomol Struct Dyn. 2007. PMID: 17206849
-
Protein intrinsic disorder and human papillomaviruses: increased amount of disorder in E6 and E7 oncoproteins from high risk HPVs.J Proteome Res. 2006 Aug;5(8):1829-42. doi: 10.1021/pr0602388. J Proteome Res. 2006. PMID: 16889404
-
Bioinformatical approaches to characterize intrinsically disordered/unstructured proteins.Brief Bioinform. 2010 Mar;11(2):225-43. doi: 10.1093/bib/bbp061. Epub 2009 Dec 10. Brief Bioinform. 2010. PMID: 20007729 Review.
-
Predicting intrinsic disorder in proteins: an overview.Cell Res. 2009 Aug;19(8):929-49. doi: 10.1038/cr.2009.87. Cell Res. 2009. PMID: 19597536 Review.
Cited by
-
Under-folded proteins: Conformational ensembles and their roles in protein folding, function, and pathogenesis.Biopolymers. 2013 Nov;99(11):870-87. doi: 10.1002/bip.22298. Biopolymers. 2013. PMID: 23754493 Free PMC article.
-
The Proteomic Analysis of Cancer-Related Alterations in the Human Unfoldome.Int J Mol Sci. 2024 Jan 26;25(3):1552. doi: 10.3390/ijms25031552. Int J Mol Sci. 2024. PMID: 38338831 Free PMC article.
-
Experimental parameterization of an energy function for the simulation of unfolded proteins.Biophys J. 2008 Jan 1;94(1):182-92. doi: 10.1529/biophysj.107.108241. Epub 2007 Sep 7. Biophys J. 2008. PMID: 17827232 Free PMC article.
-
Probabilistic integration of transcriptome-wide association studies and colocalization analysis identifies key molecular pathways of complex traits.Am J Hum Genet. 2023 Jan 5;110(1):44-57. doi: 10.1016/j.ajhg.2022.12.002. Am J Hum Genet. 2023. PMID: 36608684 Free PMC article.
-
On the intrinsic disorder status of the major players in programmed cell death pathways.F1000Res. 2013 Sep 17;2:190. doi: 10.12688/f1000research.2-190.v1. eCollection 2013. F1000Res. 2013. PMID: 24358900 Free PMC article.
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources