Literature DB >> 8208726

Monte Carlo simulations of protein folding. I. Lattice model and interaction scheme.

A Kolinski1, J Skolnick.   

Abstract

A new hierarchical method for the simulation of the protein folding process and the de novo prediction of protein three-dimensional structure is proposed. The reduced representation of the protein alpha-carbon backbone employs lattice discretizations of increasing geometrical resolution and a single ball representation of side chain rotamers. In particular, coarser and finer lattice backbone descriptions are used. The coarser (finer) lattice represents C alpha traces of native proteins with an accuracy of 1.0 (0.7) A rms. Folding is simulated by means of very fast Monte Carlo lattice dynamics. The potential of mean force, predominantly of statistical origin, contains several novel terms that facilitate the cooperative assembly of secondary structure elements and the cooperative packing of the side chains. Particular contributions to the interaction scheme are discussed in detail. In the accompanying paper (Kolinski, A., Skolnick, J. Monte Carlo simulation of protein folding. II. Application to protein A, ROP, and crambin. Proteins 18:353-366, 1994), the method is applied to three small globular proteins.

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Year:  1994        PMID: 8208726     DOI: 10.1002/prot.340180405

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


  46 in total

1.  De novo simulations of the folding thermodynamics of the GCN4 leucine zipper.

Authors:  D Mohanty; A Kolinski; J Skolnick
Journal:  Biophys J       Date:  1999-07       Impact factor: 4.033

2.  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

3.  Staphylococcal protein A: unfolding pathways, unfolded states, and differences between the B and E domains.

Authors:  D O Alonso; V Daggett
Journal:  Proc Natl Acad Sci U S A       Date:  2000-01-04       Impact factor: 11.205

4.  Exploring the origins of topological frustration: design of a minimally frustrated model of fragment B of protein A.

Authors:  J E Shea; J N Onuchic; C L Brooks
Journal:  Proc Natl Acad Sci U S A       Date:  1999-10-26       Impact factor: 11.205

5.  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

6.  Numerical study of the entropy loss of dimerization and the folding thermodynamics of the GCN4 leucine zipper.

Authors:  Jorge Viñals; Andrzej Kolinski; Jeffrey Skolnick
Journal:  Biophys J       Date:  2002-11       Impact factor: 4.033

7.  The structural basis for biphasic kinetics in the folding of the WW domain from a formin-binding protein: lessons for protein design?

Authors:  John Karanicolas; Charles L Brooks
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-24       Impact factor: 11.205

8.  TOUCHSTONE II: a new approach to ab initio protein structure prediction.

Authors:  Yang Zhang; Andrzej Kolinski; Jeffrey Skolnick
Journal:  Biophys J       Date:  2003-08       Impact factor: 4.033

9.  The origins of asymmetry in the folding transition states of protein L and protein G.

Authors:  John Karanicolas; Charles L Brooks
Journal:  Protein Sci       Date:  2002-10       Impact factor: 6.725

10.  Energy-based de novo protein folding by conformational space annealing and an off-lattice united-residue force field: application to the 10-55 fragment of staphylococcal protein A and to apo calbindin D9K.

Authors:  J Lee; A Liwo; H A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-02       Impact factor: 11.205

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