A practical overview of protein disorder prediction methods - PubMed
- ️Sun Jan 01 2006
Review
A practical overview of protein disorder prediction methods
François Ferron et al. Proteins. 2006.
Abstract
In the past few years there has been a growing awareness that a large number of proteins contain long disordered (unstructured) regions that often play a functional role. However, these disordered regions are still poorly detected. Recognition of disordered regions in a protein is important for two main reasons: reducing bias in sequence similarity analysis by avoiding alignment of disordered regions against ordered ones, and helping to delineate boundaries of protein domains to guide structural and functional studies. As none of the available method for disorder prediction can be taken as fully reliable on its own, we present an overview of the methods currently employed highlighting their advantages and drawbacks. We show a few practical examples of how they can be combined to avoid pitfalls and to achieve more reliable predictions.
Proteins 2006. (c) 2006 Wiley-Liss, Inc.
Similar articles
-
Longhi S, Lieutaud P, Canard B. Longhi S, et al. Methods Mol Biol. 2010;609:307-25. doi: 10.1007/978-1-60327-241-4_18. Methods Mol Biol. 2010. PMID: 20221927
-
Protein structure prediction based on sequence similarity.
Jaroszewski L. Jaroszewski L. Methods Mol Biol. 2009;569:129-56. doi: 10.1007/978-1-59745-524-4_7. Methods Mol Biol. 2009. PMID: 19623489
-
Bourhis JM, Canard B, Longhi S. Bourhis JM, et al. Curr Protein Pept Sci. 2007 Apr;8(2):135-49. doi: 10.2174/138920307780363451. Curr Protein Pept Sci. 2007. PMID: 17430195 Review.
-
Bioinformatical approaches to characterize intrinsically disordered/unstructured proteins.
Dosztányi Z, Mészáros B, Simon I. Dosztányi Z, et al. Brief Bioinform. 2010 Mar;11(2):225-43. doi: 10.1093/bib/bbp061. Epub 2009 Dec 10. Brief Bioinform. 2010. PMID: 20007729 Review.
-
AutoSCOP: automated prediction of SCOP classifications using unique pattern-class mappings.
Gewehr JE, Hintermair V, Zimmer R. Gewehr JE, et al. Bioinformatics. 2007 May 15;23(10):1203-10. doi: 10.1093/bioinformatics/btm089. Epub 2007 Mar 22. Bioinformatics. 2007. PMID: 17379694
Cited by
-
Johnson DE, Xue B, Sickmeier MD, Meng J, Cortese MS, Oldfield CJ, Le Gall T, Dunker AK, Uversky VN. Johnson DE, et al. J Struct Biol. 2012 Oct;180(1):201-15. doi: 10.1016/j.jsb.2012.05.013. Epub 2012 May 29. J Struct Biol. 2012. PMID: 22651963 Free PMC article.
-
Atanassov H, Parrilla J, Artault C, Verbeke J, Schneider T, Grossmann J, Roschitzki B, Atanassova R. Atanassov H, et al. Int J Mol Sci. 2022 Jan 28;23(3):1537. doi: 10.3390/ijms23031537. Int J Mol Sci. 2022. PMID: 35163458 Free PMC article.
-
Predicting Protein Conformational Disorder and Disordered Binding Sites.
Tamburrini KC, Pesce G, Nilsson J, Gondelaud F, Kajava AV, Berrin JG, Longhi S. Tamburrini KC, et al. Methods Mol Biol. 2022;2449:95-147. doi: 10.1007/978-1-0716-2095-3_4. Methods Mol Biol. 2022. PMID: 35507260
-
SPA: Short peptide analyzer of intrinsic disorder status of short peptides.
Xue B, Hsu WL, Lee JH, Lu H, Dunker AK, Uversky VN. Xue B, et al. Genes Cells. 2010 Jun;15(6):635-46. doi: 10.1111/j.1365-2443.2010.01407.x. Epub 2010 May 20. Genes Cells. 2010. PMID: 20497238 Free PMC article.
-
Xue B, Oldfield CJ, Dunker AK, Uversky VN. Xue B, et al. FEBS Lett. 2009 May 6;583(9):1469-74. doi: 10.1016/j.febslet.2009.03.070. Epub 2009 Apr 5. FEBS Lett. 2009. PMID: 19351533 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Research Materials
Miscellaneous