Literature DB >> 3184187

Analysis and prediction of the different types of beta-turn in proteins.

C M Wilmot1, J M Thornton.   

Abstract

beta-Turns have been extracted from 59 non-identical proteins (resolution 2 A) using the standard criterion that the distance between C alpha (i) and C alpha (i + 3) is less than 7 A (1 A = 0.1 nm). The beta-turns have been classified, using phi, psi angles, into seven conventional turn types (I, I', II, II', IV, VIa, VIb) and a new class of beta-turn, designated type VIII, in which the central residues (i + 1, i + 2) adopt an alpha R beta conformation. Most beta-turn types are found in various topological environments, with the exception of I' and II' beta-turns, where 83% and 50%, respectively, are found in beta-hairpins. Sufficient data have been gathered to enable, for the first time, the separate statistical analysis of type I and II beta-turns. The two turn types have been shown to be strikingly different in their sequence preferences. Type I turns favour Asp, Asn, Ser and Cys at i; Asp, Ser, Thr and Pro at i + 1; Asp, Ser, Asn and Arg at i + 2; Gly, Trp and Met at i + 3, whilst type II turns prefer Pro at i + 1; Gly and Asn at i + 2; Gln and Arg at i + 3. These preferences have been explained by the specific side-chain interactions observed within the X-ray structures. The positional trends for type I and II beta-turns have been incorporated into the simple empirical predictive algorithm originally developed by P.N. Lewis et al. The program has improved the positional prediction of beta-turns, and has enhanced and extended the method by predicting the type of beta-turn. Since the observed preferences reflect local interactions these predictions are applicable not only to proteins, but also to peptides, many of which are thought to contain beta-turns.

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Year:  1988        PMID: 3184187     DOI: 10.1016/0022-2836(88)90103-9

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  165 in total

1.  The speed limit for protein folding measured by triplet-triplet energy transfer.

Authors:  O Bieri; J Wirz; B Hellrung; M Schutkowski; M Drewello; T Kiefhaber
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-17       Impact factor: 11.205

2.  The turn sequence directs beta-strand alignment in designed beta-hairpins.

Authors:  E de Alba; M Rico; M A Jiménez
Journal:  Protein Sci       Date:  1999-11       Impact factor: 6.725

3.  De novo design and characterization of an apolar helical hairpin peptide at atomic resolution: Compaction mediated by weak interactions.

Authors:  U A Ramagopal; S Ramakumar; D Sahal; V S Chauhan
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-30       Impact factor: 11.205

Review 4.  A statistical view of FMRFamide neuropeptide diversity.

Authors:  E Espinoza; M Carrigan; S G Thomas; G Shaw; A S Edison
Journal:  Mol Neurobiol       Date:  2000 Feb-Apr       Impact factor: 5.590

5.  The Hans Neurath Award lecture of The Protein Society: proteins-- a testament to physics, chemistry, and evolution.

Authors:  J M Thornton
Journal:  Protein Sci       Date:  2001-01       Impact factor: 6.725

6.  Design criteria for molecular mimics of fragments of the beta-turn. 2. C alpha-C beta bond vector analysis.

Authors:  S L Garland; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1999-09       Impact factor: 3.686

7.  Design criteria for molecular mimics of fragments of the beta-turn. 1. C alpha atom analysis.

Authors:  S L Garland; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1999-09       Impact factor: 3.686

8.  Conformational ensembles: the role of neuropeptide structures in receptor binding.

Authors:  A S Edison; E Espinoza; C Zachariah
Journal:  J Neurosci       Date:  1999-08-01       Impact factor: 6.167

9.  A molecular trigger of lipid binding-induced opening of a helix bundle exchangeable apolipoprotein.

Authors:  V Narayanaswami; J Wang; D Schieve; C M Kay; R O Ryan
Journal:  Proc Natl Acad Sci U S A       Date:  1999-04-13       Impact factor: 11.205

10.  Cation-dependent structural features of beta-casein-(1-25).

Authors:  K J Cross; N L Huq; W Bicknell; E C Reynolds
Journal:  Biochem J       Date:  2001-05-15       Impact factor: 3.857

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