Literature DB >> 8298461

Origins of structural diversity within sequentially identical hexapeptides.

B I Cohen1, S R Presnell, F E Cohen.   

Abstract

Efforts to predict protein secondary structure have been hampered by the apparent structural plasticity of local amino acid sequences. Kabsch and Sander (1984, Proc. Natl. Acad. Sci. USA 81, 1075-1078) articulated this problem by demonstrating that identical pentapeptide sequences can adopt distinct structures in different proteins. With the increased size of the protein structure database and the availability of new methods to characterize structural environments, we revisit this observation of structural plasticity. Within a set of proteins with less than 50% sequence identity, 59 pairs of identical hexapeptide sequences were identified. These local structures were compared and their surrounding structural environments examined. Within a protein structural class (alpha/alpha, beta/beta, alpha/beta, alpha + beta), the structural similarity of sequentially identical hexapeptides usually is preserved. This study finds eight pairs of identical hexapeptide sequences that adopt beta-strand structure in one protein and alpha-helical structure in the other. In none of the eight cases do the members of these sequences pairs come from proteins within the same folding class. These results have implications for class dependent secondary structure prediction algorithms.

Mesh:

Substances:

Year:  1993        PMID: 8298461      PMCID: PMC2142335          DOI: 10.1002/pro.5560021213

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  30 in total

1.  Some factors in the interpretation of protein denaturation.

Authors:  W KAUZMANN
Journal:  Adv Protein Chem       Date:  1959

2.  Identical short peptide sequences in unrelated proteins can have different conformations: a testing ground for theories of immune recognition.

Authors:  I A Wilson; D H Haft; E D Getzoff; J A Tainer; R A Lerner; S Brenner
Journal:  Proc Natl Acad Sci U S A       Date:  1985-08       Impact factor: 11.205

3.  The Protein Data Bank: a computer-based archival file for macromolecular structures.

Authors:  F C Bernstein; T F Koetzle; G J Williams; E F Meyer; M D Brice; J R Rodgers; O Kennard; T Shimanouchi; M Tasumi
Journal:  J Mol Biol       Date:  1977-05-25       Impact factor: 5.469

4.  Structural patterns in globular proteins.

Authors:  M Levitt; C Chothia
Journal:  Nature       Date:  1976-06-17       Impact factor: 49.962

Review 5.  Empirical predictions of protein conformation.

Authors:  P Y Chou; G D Fasman
Journal:  Annu Rev Biochem       Date:  1978       Impact factor: 23.643

Review 6.  Prediction of protein structure from amino acid sequence.

Authors:  M J Sternberg; J M Thornton
Journal:  Nature       Date:  1978-01-05       Impact factor: 49.962

7.  Hydrophobic bonding and accessible surface area in proteins.

Authors:  C Chothia
Journal:  Nature       Date:  1974-03-22       Impact factor: 49.962

8.  Progress in protein structure prediction?

Authors:  B Rost; R Schneider; C Sander
Journal:  Trends Biochem Sci       Date:  1993-04       Impact factor: 13.807

9.  On the use of sequence homologies to predict protein structure: identical pentapeptides can have completely different conformations.

Authors:  W Kabsch; C Sander
Journal:  Proc Natl Acad Sci U S A       Date:  1984-02       Impact factor: 11.205

Review 10.  The anatomy and taxonomy of protein structure.

Authors:  J S Richardson
Journal:  Adv Protein Chem       Date:  1981
View more
  24 in total

1.  Predicting conformational switches in proteins.

Authors:  M Young; K Kirshenbaum; K A Dill; S Highsmith
Journal:  Protein Sci       Date:  1999-09       Impact factor: 6.725

2.  Modeling of loops in protein structures.

Authors:  A Fiser; R K Do; A Sali
Journal:  Protein Sci       Date:  2000-09       Impact factor: 6.725

3.  Understanding the sequence determinants of conformational switching using protein design.

Authors:  S Dalal; L Regan
Journal:  Protein Sci       Date:  2000-09       Impact factor: 6.725

4.  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

5.  Accurate and efficient loop selections by the DFIRE-based all-atom statistical potential.

Authors:  Chi Zhang; Song Liu; Yaoqi Zhou
Journal:  Protein Sci       Date:  2004-02       Impact factor: 6.725

6.  Spontaneous fibril formation by polyalanines; discontinuous molecular dynamics simulations.

Authors:  Hung D Nguyen; Carol K Hall
Journal:  J Am Chem Soc       Date:  2006-02-15       Impact factor: 15.419

7.  Loopholes and missing links in protein modeling.

Authors:  Karen A Rossi; Carolyn A Weigelt; Akbar Nayeem; Stanley R Krystek
Journal:  Protein Sci       Date:  2007-07-27       Impact factor: 6.725

Review 8.  ChSeq: A database of chameleon sequences.

Authors:  Wenlin Li; Lisa N Kinch; P Andrew Karplus; Nick V Grishin
Journal:  Protein Sci       Date:  2015-06-16       Impact factor: 6.725

9.  Statistical analysis and molecular dynamics simulations of ambivalent α-helices.

Authors:  Nicholus Bhattacharjee; Parbati Biswas
Journal:  BMC Bioinformatics       Date:  2010-10-18       Impact factor: 3.169

10.  Analysis of protein chameleon sequence characteristics.

Authors:  Amine Ghozlane; Agnel Praveen Joseph; Aurelie Bornot; Alexandre G de Brevern
Journal:  Bioinformation       Date:  2009-05-04
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.