Literature DB >> 9671720

"Hidden" sequence periodicities and protein architecture.

S Rackovsky1.   

Abstract

I demonstrate the existence in protein domain sequences of sets of statistically significant periodic signals, characteristic of the architectures of those domains. It is shown that, although the frequencies of the signals characteristic of a particular architecture have definite wave numbers, they can occur in any physical property. The characteristic signals define sequence units, which may correspond to specific structural features. Study of signals in different architectures suggests that symmetric structures are characterized by sets of sequence signals, which are members of harmonic series and which therefore impose commensurate periodicities on the structure. Asymmetric structures are characterized by mutually incommensurate sets of sequence signals. It is pointed out that, although these periodic sequence units can be very short, their existence is a property of the entire sequence.

Mesh:

Year:  1998        PMID: 9671720      PMCID: PMC21118          DOI: 10.1073/pnas.95.15.8580

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  8 in total

1.  Statistical distribution of hydrophobic residues along the length of protein chains. Implications for protein folding and evolution.

Authors:  S H White; R E Jacobs
Journal:  Biophys J       Date:  1990-04       Impact factor: 4.033

2.  Protein evolution. How far can sequences diverge?

Authors:  C Chothia; M Gerstein
Journal:  Nature       Date:  1997-02-13       Impact factor: 49.962

3.  Hydrophobicity scales and computational techniques for detecting amphipathic structures in proteins.

Authors:  J L Cornette; K B Cease; H Margalit; J L Spouge; J A Berzofsky; C DeLisi
Journal:  J Mol Biol       Date:  1987-06-05       Impact factor: 5.469

4.  Periodicity of polar and nonpolar amino acids is the major determinant of secondary structure in self-assembling oligomeric peptides.

Authors:  H Xiong; B L Buckwalter; H M Shieh; M H Hecht
Journal:  Proc Natl Acad Sci U S A       Date:  1995-07-03       Impact factor: 11.205

5.  Protein sequence randomness and sequence/structure correlations.

Authors:  R S Rahman; S Rackovsky
Journal:  Biophys J       Date:  1995-04       Impact factor: 4.033

6.  The evolution of proteins from random amino acid sequences. I. Evidence from the lengthwise distribution of amino acids in modern protein sequences.

Authors:  S H White; R E Jacobs
Journal:  J Mol Evol       Date:  1993-01       Impact factor: 2.395

7.  Binary patterning of polar and nonpolar amino acids in the sequences and structures of native proteins.

Authors:  M W West; M H Hecht
Journal:  Protein Sci       Date:  1995-10       Impact factor: 6.725

8.  The hydrophobic moment detects periodicity in protein hydrophobicity.

Authors:  D Eisenberg; R M Weiss; T C Terwilliger
Journal:  Proc Natl Acad Sci U S A       Date:  1984-01       Impact factor: 11.205

  8 in total
  14 in total

1.  Designing human m1 muscarinic receptor-targeted hydrophobic eigenmode matched peptides as functional modulators.

Authors:  Karen A Selz; Arnold J Mandell; Michael F Shlesinger; Vani Arcuragi; Michael J Owens
Journal:  Biophys J       Date:  2004-03       Impact factor: 4.033

2.  Global characteristics of protein sequences and their implications.

Authors:  S Rackovsky
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-26       Impact factor: 11.205

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

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

4.  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

5.  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

6.  A computational approach for deciphering the organization of glycosaminoglycans.

Authors:  Jean L Spencer; Joel A Bernanke; Jo Ann Buczek-Thomas; Matthew A Nugent
Journal:  PLoS One       Date:  2010-02-23       Impact factor: 3.240

7.  Sequence-specific dynamic information in proteins.

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

8.  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

9.  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

10.  Symmetric key structural residues in symmetric proteins with beta-trefoil fold.

Authors:  Jianhui Feng; Mingfeng Li; Yanzhao Huang; Yi Xiao
Journal:  PLoS One       Date:  2010-11-30       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.