Literature DB >> 23720385

Sequence determinants of protein architecture.

S Rackovsky1.   

Abstract

Delineation of the relationship between sequence and structure in proteins has proven elusive. Most studies of this problem use alignment methods and other approaches based on the characteristics of individual residues. It is demonstrated herein that the sequence-structure relationship is determined in significant part by global characteristics of sequence organization. Information encoded in complete sequences is required to distinguish proteins in different architectural groups. It is found that the statistically significant differences between sequences encoding different architectures are encoded in a surprisingly small set of low-wave-number sequence periodicities. It would therefore appear that unexpected simplicity in an appropriately defined Fourier space may be an inherent characteristic of the sequences of folded proteins.
Copyright © 2013 Wiley Periodicals, Inc.

Keywords:  Fourier analysis; distant homologies; fold detection; protein folding; sequence-structure relationships

Mesh:

Substances:

Year:  2013        PMID: 23720385     DOI: 10.1002/prot.24328

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


  8 in total

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

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

2.  Global informatics and physical property selection in protein sequences.

Authors:  Harold A Scheraga; S Rackovsky
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-01       Impact factor: 11.205

3.  Sequence-specific dynamic information in proteins.

Authors:  H A Scheraga; S Rackovsky
Journal:  Proteins       Date:  2019-06-11

4.  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

5.  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

6.  Dynamic and conformational switching in proteins.

Authors:  H A Scheraga; S Rackovsky
Journal:  Biopolymers       Date:  2020-12-03       Impact factor: 2.505

7.  3D representations of amino acids-applications to protein sequence comparison and classification.

Authors:  Jie Li; Patrice Koehl
Journal:  Comput Struct Biotechnol J       Date:  2014-09-06       Impact factor: 7.271

8.  Fold-specific sequence scoring improves protein sequence matching.

Authors:  Sumudu P Leelananda; Andrzej Kloczkowski; Robert L Jernigan
Journal:  BMC Bioinformatics       Date:  2016-08-30       Impact factor: 3.169

  8 in total

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