Literature DB >> 7966290

Exploring conformational space with a simple lattice model for protein structure.

D A Hinds1, M Levitt.   

Abstract

We present a low resolution lattice model for which we can exhaustively generate all possible compact backbone conformations for small proteins. Using simple structural and energetic criteria, for a variety of proteins, we can select for lattice structures that have significant similarities with their known native structures. Our energetic parameters are based on pairwise amino acid contact frequencies in a database of experimentally determined structures. A key step in our method involves the threading of a sequence onto every lattice model, such that a locally optimal pattern of tertiary interactions is formed. We evaluate our results against statistics collected for structures covering all of conformational space, and against statistics collected for permuted sequences. Despite the low resolution of the model, our low energy structures contain many native features. These results indicate that the overall pattern of hydrophobicity of a sequence significantly constrains the range of folds that sequence is likely to adopt.

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Year:  1994        PMID: 7966290     DOI: 10.1016/0022-2836(94)90040-x

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


  32 in total

1.  Analysis of knowledge-based protein-ligand potentials using a self-consistent method.

Authors:  J Shimada; A V Ishchenko; E I Shakhnovich
Journal:  Protein Sci       Date:  2000-04       Impact factor: 6.725

2.  Meanfield approach to the thermodynamics of protein-solvent systems with application to p53.

Authors:  A R Völkel; J Noolandi
Journal:  Biophys J       Date:  2001-03       Impact factor: 4.033

3.  Predicting the structures of 18 peptides using Geocore.

Authors:  K Ishikawa; K Yue; K A Dill
Journal:  Protein Sci       Date:  1999-04       Impact factor: 6.725

4.  Structural analysis of conserved base pairs in protein-DNA complexes.

Authors:  Leonid A Mirny; Mikhail S Gelfand
Journal:  Nucleic Acids Res       Date:  2002-04-01       Impact factor: 16.971

5.  A novel approach to decoy set generation: designing a physical energy function having local minima with native structure characteristics.

Authors:  Chen Keasar; Michael Levitt
Journal:  J Mol Biol       Date:  2003-05-23       Impact factor: 5.469

6.  Stability and the evolvability of function in a model protein.

Authors:  Jesse D Bloom; Claus O Wilke; Frances H Arnold; Christoph Adami
Journal:  Biophys J       Date:  2004-05       Impact factor: 4.033

7.  Protein sequence entropy is closely related to packing density and hydrophobicity.

Authors:  H Liao; W Yeh; D Chiang; R L Jernigan; B Lustig
Journal:  Protein Eng Des Sel       Date:  2005-03-23       Impact factor: 1.650

8.  Inferring ideal amino acid interaction forms from statistical protein contact potentials.

Authors:  Piotr Pokarowski; Andrzej Kloczkowski; Robert L Jernigan; Neha S Kothari; Maria Pokarowska; Andrzej Kolinski
Journal:  Proteins       Date:  2005-04-01

9.  Thermodynamic prediction of protein neutrality.

Authors:  Jesse D Bloom; Jonathan J Silberg; Claus O Wilke; D Allan Drummond; Christoph Adami; Frances H Arnold
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-11       Impact factor: 11.205

10.  A coarse-grained potential for fold recognition and molecular dynamics simulations of proteins.

Authors:  Peter Májek; Ron Elber
Journal:  Proteins       Date:  2009-09
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