Literature DB >> 2381907

Quantitative organization of the known protein x-ray structures. I. Methods and short-length-scale results.

S Rackovsky1.   

Abstract

We address herein the problem of delineating the relationships between the known protein structures. In order to study this problem, methods have been developed to represent arbitrarily sized fragments of biopolymer backbone, and to compare distributions of such fragments. These methods are applied to a classification of 123 structures representing the entire set of known x-ray structures. The resulting data are analyzed (on the four-C alpha length scale) to determine both the large-scale organization of the set of known structures (i.e., the relationships between large groups of structures, each comprised of proteins that are structurally related) and its local structure (i.e., the quantitative degree of similarity between any two specific structures). It is shown that the set of structures forms a continuum of structural types, ranging from all-helical to all-sheet/barrel proteins. It is further demonstrated that the density of protein structures is not uniform across this continuum, but rather that structures cluster in certain regions, separated by regions of lower population. The properties of the various regions of the structural space are determined. The existence is demonstrated of strong quantitative correlations between the contents of different types of four-C alpha fragments within protein structures, which imply significant constraints on the types of architecture that can occur in proteins. Analysis of the distribution of structures demonstrates some hitherto unsuspected similarities and suggests that, in some circumstances, neither structural similarity nor sequence homology may be necessary conditions for evolutionary relationship between proteins. It is also suggested that these unsuspected similarities may imply similar folding mechanisms for structures of apparently different global architecture. Cases are also noted in which apparently similar structures may fold by different mechanisms. The connection between structure and dynamic properties is discussed, and a possible role of dynamics in the evolution of protein structures is suggested. The sensitivity of the methods presented herein to anomalies of structure refinement is demonstrated. It is suggested that the present results provide a framework for analyzing experimental results on structural similarity obtained using vibrational circular dichroism spectra, which are sensitive to local backbone structure.

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Year:  1990        PMID: 2381907     DOI: 10.1002/prot.340070409

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  23 in total

1.  On the properties and sequence context of structurally ambivalent fragments in proteins.

Authors:  Igor B Kuznetsov; S Rackovsky
Journal:  Protein Sci       Date:  2003-11       Impact factor: 6.725

2.  Nonlinearities in protein space limit the utility of informatics in protein biophysics.

Authors:  S Rackovsky
Journal:  Proteins       Date:  2015-09-10

3.  Visualization of conformational distribution of short to medium size segments in globular proteins and identification of local structural motifs.

Authors:  Kazuyoshi Ikeda; Kentaro Tomii; Tsuyoshi Yokomizo; Daisuke Mitomo; Keiichiro Maruyama; Shinya Suzuki; Junichi Higo
Journal:  Protein Sci       Date:  2005-03-31       Impact factor: 6.725

4.  Sequence physical properties encode the global organization of protein structure space.

Authors:  S Rackovsky
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-12       Impact factor: 11.205

5.  Comparison of protein structures using 3D profile alignment.

Authors:  M Suyama; Y Matsuo; K Nishikawa
Journal:  J Mol Evol       Date:  1997       Impact factor: 2.395

6.  Homolog detection using global sequence properties suggests an alternate view of structural encoding in protein sequences.

Authors:  Harold A Scheraga; S Rackovsky
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-24       Impact factor: 11.205

7.  The structure of protein dynamic space.

Authors:  S Rackovsky; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-05       Impact factor: 11.205

8.  On the existence and implications of an inverse folding code in proteins.

Authors:  S Rackovsky
Journal:  Proc Natl Acad Sci U S A       Date:  1995-07-18       Impact factor: 11.205

9.  Kinks, loops, and protein folding, with protein A as an example.

Authors:  Andrey Krokhotin; Adam Liwo; Gia G Maisuradze; Antti J Niemi; Harold A Scheraga
Journal:  J Chem Phys       Date:  2014-01-14       Impact factor: 3.488

10.  Calculation of protein backbone geometry from alpha-carbon coordinates based on peptide-group dipole alignment.

Authors:  A Liwo; M R Pincus; R J Wawak; S Rackovsky; H A Scheraga
Journal:  Protein Sci       Date:  1993-10       Impact factor: 6.725

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