Literature DB >> 16980371

Dihedral-angle information entropy as a gauge of secondary structure propensity.

Shi Zhong1, Jeremy M Moix, Stephen Quirk, Rigoberto Hernandez.   

Abstract

Protein structural information can be uncovered using an information-theory-based entropy and auxiliary functions by taking advantage of high-quality correlation plots between the dihedral angles around a residue and those between sequential residues. A standard information entropy for a primary sequence has been defined using the values of the probabilities of the most likely dihedral angles along the sequence. The distribution of entropy differences relative to the standard for each protein in a reference set--a sublibrary of the Protein Data Bank at the 90% sequence redundancy level--appears to be nearly Gaussian. It gives rise to an auxiliary checking function whose value signals the extent to which the dihedral angle propensities differ from typical structures. Such deviations can arise either because of incorrect dihedral angle assignments or secondary structural propensities that are atypical of the structures in the reference set. This auxiliary checking function can be readily calculated at the public website, (http://www.d2check.gatech.edu). Its utility is demonstrated here in an analysis displaying differences between experimentally and theoretically derived structures, and in the analysis of structures derived by homology modeling. A comparison of the new measure, D(2)Check, to other checking functions based on backbone conformation-namely, PROCHECK and WHAT_CHECK--is also provided.

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Substances:

Year:  2006        PMID: 16980371      PMCID: PMC1635691          DOI: 10.1529/biophysj.106.089243

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  49 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2000-11-07       Impact factor: 11.205

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Authors:  D Baker; A Sali
Journal:  Science       Date:  2001-10-05       Impact factor: 47.728

4.  VADAR: a web server for quantitative evaluation of protein structure quality.

Authors:  Leigh Willard; Anuj Ranjan; Haiyan Zhang; Hassan Monzavi; Robert F Boyko; Brian D Sykes; David S Wishart
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

5.  A hierarchical approach to all-atom protein loop prediction.

Authors:  Matthew P Jacobson; David L Pincus; Chaya S Rapp; Tyler J F Day; Barry Honig; David E Shaw; Richard A Friesner
Journal:  Proteins       Date:  2004-05-01

6.  WHAT IF: a molecular modeling and drug design program.

Authors:  G Vriend
Journal:  J Mol Graph       Date:  1990-03

7.  Enhanced sampling near the native conformation using statistical potentials for local side-chain and backbone interactions.

Authors:  Qiaojun Fang; David Shortle
Journal:  Proteins       Date:  2005-07-01

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Authors:  G J Kleywegt; T A Jones
Journal:  Structure       Date:  1996-12-15       Impact factor: 5.006

9.  Crystal structure of a p53 tumor suppressor-DNA complex: understanding tumorigenic mutations.

Authors:  Y Cho; S Gorina; P D Jeffrey; N P Pavletich
Journal:  Science       Date:  1994-07-15       Impact factor: 47.728

10.  An attempt to locate the non-helical and permissively helical sequences of proteins: application to the variable regions of immunoglobulin light and heavy chains.

Authors:  T T Wu; E A Kabat
Journal:  Proc Natl Acad Sci U S A       Date:  1971-07       Impact factor: 11.205

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