Literature DB >> 2622905

A computer model to dynamically simulate protein folding: studies with crambin.

C Wilson1, S Doniach.   

Abstract

The current work describes a simplified representation of protein structure with uses in the simulation of protein folding. The model assumes that a protein can be represented by a freely rotating rigid chain with a single atom approximating the effect of each side chain. Potentials describing the attraction or repulsion between different types of amino acids are determined directly from the distribution of amino acids in the database of known protein structures. The optimization technique of simulated annealing has been used to dynamically sample the conformations available to this simple model, allowing the protein to evolve from an extended, random coil into a compact globular structure. Many characteristics expected of true proteins, such as the sequence-dependent formation of secondary structure, the partitioning of hydrophobic residues, and specific disulfide pairing, are reproduced by the simulation, suggesting the model may accurately simulate the folding process.

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Year:  1989        PMID: 2622905     DOI: 10.1002/prot.340060208

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  21 in total

1.  Scoring functions in protein folding and design.

Authors:  R I Dima; J R Banavar; A Maritan
Journal:  Protein Sci       Date:  2000-04       Impact factor: 6.725

2.  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

3.  Selecting near-native conformations in homology modeling: the role of molecular mechanics and solvation terms.

Authors:  A Janardhan; S Vajda
Journal:  Protein Sci       Date:  1998-08       Impact factor: 6.725

4.  Recovering physical potentials from a model protein databank.

Authors:  J W Mullinax; W G Noid
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-01       Impact factor: 11.205

5.  Reference state for the generalized Yvon-Born-Green theory: application for coarse-grained model of hydrophobic hydration.

Authors:  J W Mullinax; W G Noid
Journal:  J Chem Phys       Date:  2010-09-28       Impact factor: 3.488

6.  A lattice model for protein structure prediction at low resolution.

Authors:  D A Hinds; M Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  1992-04-01       Impact factor: 11.205

7.  Protein structure prediction based on statistical potential.

Authors:  S Sun; N Luo; R L Ornstein; R Rein
Journal:  Biophys J       Date:  1992-04       Impact factor: 4.033

8.  Distance geometry generates native-like folds for small helical proteins using the consensus distances of predicted protein structures.

Authors:  E S Huang; R Samudrala; J W Ponder
Journal:  Protein Sci       Date:  1998-09       Impact factor: 6.725

9.  How do potentials derived from structural databases relate to "true" potentials?

Authors:  L Zhang; J Skolnick
Journal:  Protein Sci       Date:  1998-01       Impact factor: 6.725

10.  Folding proteins with a simple energy function and extensive conformational searching.

Authors:  K Yue; K A Dill
Journal:  Protein Sci       Date:  1996-02       Impact factor: 6.725

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