Literature DB >> 18991772

TOP-IDP-scale: a new amino acid scale measuring propensity for intrinsic disorder.

Andrew Campen1, Ryan M Williams, Celeste J Brown, Jingwei Meng, Vladimir N Uversky, A Keith Dunker.   

Abstract

Intrinsically disordered proteins carry out various biological functions while lacking ordered secondary and/or tertiary structure. In order to find general intrinsic properties of amino acid residues that are responsible for the absence of ordered structure in intrinsically disordered proteins we surveyed 517 amino acid scales. Each of these scales was taken as an independent attribute for the subsequent analysis. For a given attribute value X, which is averaged over a consecutive string of amino acids, and for a given data set having both ordered and disordered segments, the conditional probabilities P(s(o) | x) and P(s(d) | x) for order and disorder, respectively, can be determined for all possible values of X. Plots of the conditional probabilities P(s(o) | x) and P(s(o) | x) versus X give a pair of curves. The area between these two curves divided by the total area of the graph gives the area ratio value (ARV), which is proportional to the degree of separation of the two probability curves and, therefore, provides a measure of the given attribute's power to discriminate between order and disorder. As ARV falls between zero and one, larger ARV corresponds to the better discrimination between order and disorder. Starting from the scale with the highest ARV, we applied a simulated annealing procedure to search for alternative scale values and have managed to increase the ARV by more than 10%. The ranking of the amino acids in this new TOP-IDP scale is as follows (from order promoting to disorder promoting): W, F, Y, I, M, L, V, N, C, T, A, G, R, D, H, Q, K, S, E, P. A web-based server has been created to apply the TOP-IDP scale to predict intrinsically disordered proteins (http://www.disprot.org/dev/disindex.php).

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Year:  2008        PMID: 18991772      PMCID: PMC2676888          DOI: 10.2174/092986608785849164

Source DB:  PubMed          Journal:  Protein Pept Lett        ISSN: 0929-8665            Impact factor:   1.890


  41 in total

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Authors:  R M Williams; Z Obradovi; V Mathura; W Braun; E C Garner; J Young; S Takayama; C J Brown; A K Dunker
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Review 2.  What does it mean to be natively unfolded?

Authors:  Vladimir N Uversky
Journal:  Eur J Biochem       Date:  2002-01

Review 3.  Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm.

Authors:  P E Wright; H J Dyson
Journal:  J Mol Biol       Date:  1999-10-22       Impact factor: 5.469

Review 4.  Protein folding revisited. A polypeptide chain at the folding-misfolding-nonfolding cross-roads: which way to go?

Authors:  V N Uversky
Journal:  Cell Mol Life Sci       Date:  2003-09       Impact factor: 9.261

Review 5.  Flexible nets. The roles of intrinsic disorder in protein interaction networks.

Authors:  A Keith Dunker; Marc S Cortese; Pedro Romero; Lilia M Iakoucheva; Vladimir N Uversky
Journal:  FEBS J       Date:  2005-10       Impact factor: 5.542

6.  Mining alpha-helix-forming molecular recognition features with cross species sequence alignments.

Authors:  Yugong Cheng; Christopher J Oldfield; Jingwei Meng; Pedro Romero; Vladimir N Uversky; A Keith Dunker
Journal:  Biochemistry       Date:  2007-11-01       Impact factor: 3.162

7.  Relation between amino acid composition and cellular location of proteins.

Authors:  J Cedano; P Aloy; J A Pérez-Pons; E Querol
Journal:  J Mol Biol       Date:  1997-02-28       Impact factor: 5.469

8.  The protein folding problem.

Authors:  T E Creighton
Journal:  Science       Date:  1988-04-15       Impact factor: 47.728

9.  Local interactions as a structure determinant for protein molecules: II.

Authors:  W R Krigbaum; A Komoriya
Journal:  Biochim Biophys Acta       Date:  1979-01-25

10.  Composition Profiler: a tool for discovery and visualization of amino acid composition differences.

Authors:  Vladimir Vacic; Vladimir N Uversky; A Keith Dunker; Stefano Lonardi
Journal:  BMC Bioinformatics       Date:  2007-06-19       Impact factor: 3.169

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  141 in total

Review 1.  Understanding protein non-folding.

Authors:  Vladimir N Uversky; A Keith Dunker
Journal:  Biochim Biophys Acta       Date:  2010-02-01

2.  Functional dissection of an intrinsically disordered protein: understanding the roles of different domains of Knr4 protein in protein-protein interactions.

Authors:  Adilia Dagkessamanskaia; Fabien Durand; Vladimir N Uversky; Matteo Binda; Frédéric Lopez; Karim El Azzouzi; Jean Marie Francois; Hélène Martin-Yken
Journal:  Protein Sci       Date:  2010-07       Impact factor: 6.725

3.  Quantitative assessments of the distinct contributions of polypeptide backbone amides versus side chain groups to chain expansion via chemical denaturation.

Authors:  Alex S Holehouse; Kanchan Garai; Nicholas Lyle; Andreas Vitalis; Rohit V Pappu
Journal:  J Am Chem Soc       Date:  2015-02-23       Impact factor: 15.419

4.  Folding factors and partners for the intrinsically disordered protein micro-exon gene 14 (MEG-14).

Authors:  Jose Luiz S Lopes; Debora Orcia; Ana Paula U Araujo; Ricardo DeMarco; B A Wallace
Journal:  Biophys J       Date:  2013-06-04       Impact factor: 4.033

5.  Another disordered chameleon: the Micro-Exon Gene 14 protein from Schistosomiasis.

Authors:  A Keith Dunker
Journal:  Biophys J       Date:  2013-06-04       Impact factor: 4.033

6.  Differential occurrence of protein intrinsic disorder in the cytoplasmic signaling domains of cell receptors.

Authors:  Alexander B Sigalov; Vladimir N Uversky
Journal:  Self Nonself       Date:  2011-01-01

7.  Expanding the proteome: disordered and alternatively folded proteins.

Authors:  H Jane Dyson
Journal:  Q Rev Biophys       Date:  2011-07-01       Impact factor: 5.318

8.  The BADC and BCCP subunits of chloroplast acetyl-CoA carboxylase sense the pH changes of the light-dark cycle.

Authors:  Yajin Ye; Yan G Fulcher; David J Sliman; Mizani T Day; Mark J Schroeder; Rama K Koppisetti; Philip D Bates; Jay J Thelen; Steven R Van Doren
Journal:  J Biol Chem       Date:  2020-05-27       Impact factor: 5.157

9.  Protein intrinsic disorder and influenza virulence: the 1918 H1N1 and H5N1 viruses.

Authors:  Gerard Kian-Meng Goh; A Keith Dunker; Vladimir N Uversky
Journal:  Virol J       Date:  2009-06-03       Impact factor: 4.099

10.  Unfoldomics of human diseases: linking protein intrinsic disorder with diseases.

Authors:  Vladimir N Uversky; Christopher J Oldfield; Uros Midic; Hongbo Xie; Bin Xue; Slobodan Vucetic; Lilia M Iakoucheva; Zoran Obradovic; A Keith Dunker
Journal:  BMC Genomics       Date:  2009-07-07       Impact factor: 3.969

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