Literature DB >> 18036571

Understanding protein folding: small proteins in silico.

Olav Zimmermann1, Ulrich H E Hansmann.   

Abstract

Recent improvements in methodology and increased computer power now allow atomistic computer simulations of protein folding. We briefly review several advanced Monte Carlo algorithms that have contributed to this development. Details of folding simulations of three designed mini proteins are shown. Adding global translations and rotations has allowed us to handle multiple chains and to simulate the aggregation of six beta-amyloid fragments. In a different line of research we have developed several algorithms to predict local features from sequence. In an outlook we sketch how such biasing could extend the application spectrum of Monte Carlo simulations to structure prediction of larger proteins.

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Year:  2007        PMID: 18036571      PMCID: PMC2244683          DOI: 10.1016/j.bbapap.2007.10.010

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  20 in total

1.  Protein secondary structure prediction based on position-specific scoring matrices.

Authors:  D T Jones
Journal:  J Mol Biol       Date:  1999-09-17       Impact factor: 5.469

2.  Global optimization by energy landscape paving.

Authors:  Ulrich H E Hansmann; Luc T Wille
Journal:  Phys Rev Lett       Date:  2002-01-28       Impact factor: 9.161

3.  Design and characterization of helical peptides that inhibit the E6 protein of papillomavirus.

Authors:  Yuqi Liu; Zhiguo Liu; Elliot Androphy; Jason Chen; James D Baleja
Journal:  Biochemistry       Date:  2004-06-15       Impact factor: 3.162

4.  New Monte Carlo technique for studying phase transitions.

Authors: 
Journal:  Phys Rev Lett       Date:  1988-12-05       Impact factor: 9.161

Review 5.  Peptide inhibitors of protein kinases-discovery, characterisation and use.

Authors:  Marie A Bogoyevitch; Renae K Barr; Albert J Ketterman
Journal:  Biochim Biophys Acta       Date:  2005-09-08

6.  Efficient sampling of protein structures by model hopping.

Authors:  Wooseop Kwak; Ulrich H E Hansmann
Journal:  Phys Rev Lett       Date:  2005-09-22       Impact factor: 9.161

7.  A knowledge-based move set for protein folding.

Authors:  William W Chen; Jae Shick Yang; Eugene I Shakhnovich
Journal:  Proteins       Date:  2007-02-15

8.  Aggregation of beta-amyloid fragments.

Authors:  Jan H Meinke; Ulrich H E Hansmann
Journal:  J Chem Phys       Date:  2007-01-07       Impact factor: 3.488

9.  Monte Carlo vs molecular dynamics for all-atom polypeptide folding simulations.

Authors:  Jakob P Ulmschneider; Martin B Ulmschneider; Alfredo Di Nola
Journal:  J Phys Chem B       Date:  2006-08-24       Impact factor: 2.991

10.  Exploring protein energy landscapes with hierarchical clustering.

Authors:  Dominik Gront; Ulrich H E Hansmann; Andrzej Kolinski
Journal:  Int J Quantum Chem       Date:  2005       Impact factor: 2.444

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  6 in total

1.  Folding and self-assembly of a small heterotetramer.

Authors:  Fatih Yaşar; Adam K Sieradzan; Ulrich H E Hansmann
Journal:  J Chem Phys       Date:  2014-03-14       Impact factor: 3.488

2.  Folding simulations of the A and B domains of protein G.

Authors:  Maksim Kouza; Ulrich H E Hansmann
Journal:  J Phys Chem B       Date:  2012-01-24       Impact factor: 2.991

3.  Monte Carlo, harmonic approximation, and coarse-graining approaches for enhanced sampling of biomolecular structure.

Authors:  Tamar Schlick
Journal:  F1000 Biol Rep       Date:  2009-06-29

4.  Modeling Structural Flexibility of Proteins with Go-Models.

Authors:  Ping Jiang; Ulrich H E Hansmann
Journal:  J Chem Theory Comput       Date:  2012-06-12       Impact factor: 6.006

5.  Folding and self-assembly of a small protein complex.

Authors:  Adam K Sieradzan; Adam Liwo; Ulrich H E Hansmann
Journal:  J Chem Theory Comput       Date:  2012-09-11       Impact factor: 6.006

6.  Exploring the parameter space of the coarse-grained UNRES force field by random search: selecting a transferable medium-resolution force field.

Authors:  Yi He; Yi Xiao; Adam Liwo; Harold A Scheraga
Journal:  J Comput Chem       Date:  2009-10       Impact factor: 3.376

  6 in total

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