Literature DB >> 11742118

Composites of local structure propensities: evidence for local encoding of long-range structure.

David Shortle1.   

Abstract

To estimate how extensively the ensemble of denatured-state conformations is constrained by local side-chain-backbone interactions, propensities of each of the 20 amino acids to occur in mono- and dipeptides mapped to discrete regions of the Ramachandran map are computed from proteins of known structure. In addition, propensities are computed for the trans, gauche-, and gauche+ rotamers, with or without consideration of the values of phi and psi. These propensities are used in scoring functions for fragment threading, which estimates the energetic favorability of fragments of protein sequence to adopt the native conformation as opposed to hundreds of thousands of incorrect conformations. As finer subdivisions of the Ramachandran plot, neighboring residue phi/psi angles, and rotamers are incorporated, scoring functions become better at ranking the native conformation as the most favorable. With the best composite propensity function, the native structure can be distinguished from 300,000 incorrect structures for 71% of the 2130 arbitrary protein segments of length 40, 48% of 2247 segments of length 30, and 20% of 2368 segments of length 20. A majority of fragments of length 30-40 are estimated to be folded into the native conformation a substantial fraction of the time. These data suggest that the variations observed in amino acid frequencies in different phi/psi/chi1 environments in folded proteins reflect energetically important local side-chain-backbone interactions, interactions that may severely restrict the ensemble of conformations populated in the denatured state to a relatively small subset with nativelike structure.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 11742118      PMCID: PMC2368770          DOI: 10.1110/ps.ps.31002

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


  33 in total

1.  A physical basis for protein secondary structure.

Authors:  R Srinivasan; G D Rose
Journal:  Proc Natl Acad Sci U S A       Date:  1999-12-07       Impact factor: 11.205

2.  The Flory isolated-pair hypothesis is not valid for polypeptide chains: implications for protein folding.

Authors:  R V Pappu; R Srinivasan; G D Rose
Journal:  Proc Natl Acad Sci U S A       Date:  2000-11-07       Impact factor: 11.205

3.  Persistence of native-like topology in a denatured protein in 8 M urea.

Authors:  D Shortle; M S Ackerman
Journal:  Science       Date:  2001-07-20       Impact factor: 47.728

Review 4.  Ab initio protein structure prediction: progress and prospects.

Authors:  R Bonneau; D Baker
Journal:  Annu Rev Biophys Biomol Struct       Date:  2001

5.  Tertiary templates for proteins. Use of packing criteria in the enumeration of allowed sequences for different structural classes.

Authors:  J W Ponder; F M Richards
Journal:  J Mol Biol       Date:  1987-02-20       Impact factor: 5.469

6.  Interior and surface of monomeric proteins.

Authors:  S Miller; J Janin; A M Lesk; C Chothia
Journal:  J Mol Biol       Date:  1987-08-05       Impact factor: 5.469

7.  Conformational parameters for amino acids in helical, beta-sheet, and random coil regions calculated from proteins.

Authors:  P Y Chou; G D Fasman
Journal:  Biochemistry       Date:  1974-01-15       Impact factor: 3.162

Review 8.  Conformation of polypeptides and proteins.

Authors:  G N Ramachandran; V Sasisekharan
Journal:  Adv Protein Chem       Date:  1968

9.  Empirical protein energy maps.

Authors:  F M Pohl
Journal:  Nat New Biol       Date:  1971-12-29

10.  Hydrophobicity of amino acid residues in globular proteins.

Authors:  G D Rose; A R Geselowitz; G J Lesser; R H Lee; M H Zehfus
Journal:  Science       Date:  1985-08-30       Impact factor: 47.728

View more
  23 in total

1.  Propensities, probabilities, and the Boltzmann hypothesis.

Authors:  David Shortle
Journal:  Protein Sci       Date:  2003-06       Impact factor: 6.725

2.  Dihedral-angle information entropy as a gauge of secondary structure propensity.

Authors:  Shi Zhong; Jeremy M Moix; Stephen Quirk; Rigoberto Hernandez
Journal:  Biophys J       Date:  2006-09-15       Impact factor: 4.033

3.  A method for evaluating the structural quality of protein models by using higher-order phi-psi pairs scoring.

Authors:  Gregory E Sims; Sung-Hou Kim
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-14       Impact factor: 11.205

4.  Fragment-HMM: a new approach to protein structure prediction.

Authors:  Shuai Cheng Li; Dongbo Bu; Jinbo Xu; Ming Li
Journal:  Protein Sci       Date:  2008-08-22       Impact factor: 6.725

5.  A reexamination of correlations of amino acids with particular secondary structures.

Authors:  Sasa N Malkov; Miodrag V Zivković; Milos V Beljanski; Srdan D Stojanović; Snezana D Zarić
Journal:  Protein J       Date:  2009-02       Impact factor: 2.371

6.  A modular perspective of protein structures: application to fragment based loop modeling.

Authors:  Narcis Fernandez-Fuentes; Andras Fiser
Journal:  Methods Mol Biol       Date:  2013

7.  Improved prediction of trans-membrane spans in proteins using an Artificial Neural Network.

Authors:  Julia Koehler; Ralf Mueller; Jens Meiler
Journal:  IEEE Symp Comput Intell Bioinforma Comput Biol Proc       Date:  2009-05-15

8.  Requirements for prediction of peptide retention time in reversed-phase high-performance liquid chromatography: hydrophilicity/hydrophobicity of side-chains at the N- and C-termini of peptides are dramatically affected by the end-groups and location.

Authors:  Brian Tripet; Dziuleta Cepeniene; James M Kovacs; Colin T Mant; Oleg V Krokhin; Robert S Hodges
Journal:  J Chromatogr A       Date:  2006-12-21       Impact factor: 4.759

9.  Intrinsic backbone preferences are fully present in blocked amino acids.

Authors:  Franc Avbelj; Simona Golic Grdadolnik; Joze Grdadolnik; Robert L Baldwin
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-19       Impact factor: 11.205

10.  A unified hydrophobicity scale for multispan membrane proteins.

Authors:  Julia Koehler; Nils Woetzel; René Staritzbichler; Charles R Sanders; Jens Meiler
Journal:  Proteins       Date:  2009-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.