Literature DB >> 14683075

Designing refoldable model molecules.

I Coluzza1, H G Muller, D Frenkel.   

Abstract

We report a numerical study of the design of lattice heteropolymers that can refold when the properties of only a few monomers are changed. If we assume that the effect of an external agent on a heteropolymer is to alter the interactions between its constituent monomers, our simulations provide a description of a simple allosteric transition. We characterize the free energy surfaces of the initial and the modified chain molecule. We find that there is a region of conformation space where molecules can be made to refold with minimal free energy cost. This region is accessible by thermal fluctuations. The efficiency of a motor based on such an allosteric transition would be enhanced by "borrowing" heat from the environment in the initial stages of the refolding, and "paying back" later. In fact, the power cycle of many real molecular motors does involve such a borrowing activation step.

Year:  2003        PMID: 14683075     DOI: 10.1103/PhysRevE.68.046703

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  10 in total

1.  Monte Carlo study of substrate-induced folding and refolding of lattice proteins.

Authors:  Ivan Coluzza; Daan Frenkel
Journal:  Biophys J       Date:  2006-12-01       Impact factor: 4.033

2.  Translocation boost protein-folding efficiency of double-barreled chaperonins.

Authors:  Ivan Coluzza; Saskia M van der Vies; Daan Frenkel
Journal:  Biophys J       Date:  2006-02-10       Impact factor: 4.033

3.  Accounting for protein-solvent contacts facilitates design of nonaggregating lattice proteins.

Authors:  Sanne Abeln; Daan Frenkel
Journal:  Biophys J       Date:  2011-02-02       Impact factor: 4.033

4.  A coarse-grained approach to protein design: learning from design to understand folding.

Authors:  Ivan Coluzza
Journal:  PLoS One       Date:  2011-07-01       Impact factor: 3.240

5.  Analytic markovian rates for generalized protein structure evolution.

Authors:  Ivan Coluzza; James T MacDonald; Michael I Sadowski; William R Taylor; Richard A Goldstein
Journal:  PLoS One       Date:  2012-05-23       Impact factor: 3.240

6.  The hydrophobic temperature dependence of amino acids directly calculated from protein structures.

Authors:  Erik van Dijk; Arlo Hoogeveen; Sanne Abeln
Journal:  PLoS Comput Biol       Date:  2015-05-22       Impact factor: 4.475

7.  A simple lattice model that captures protein folding, aggregation and amyloid formation.

Authors:  Sanne Abeln; Michele Vendruscolo; Christopher M Dobson; Daan Frenkel
Journal:  PLoS One       Date:  2014-01-15       Impact factor: 3.240

8.  Transferable coarse-grained potential for de novo protein folding and design.

Authors:  Ivan Coluzza
Journal:  PLoS One       Date:  2014-12-01       Impact factor: 3.240

9.  The hydrophobic effect characterises the thermodynamic signature of amyloid fibril growth.

Authors:  Juami Hermine Mariama van Gils; Erik van Dijk; Alessia Peduzzo; Alexander Hofmann; Nicola Vettore; Marie P Schützmann; Georg Groth; Halima Mouhib; Daniel E Otzen; Alexander K Buell; Sanne Abeln
Journal:  PLoS Comput Biol       Date:  2020-05-04       Impact factor: 4.475

10.  Disordered flanks prevent peptide aggregation.

Authors:  Sanne Abeln; Daan Frenkel
Journal:  PLoS Comput Biol       Date:  2008-12-19       Impact factor: 4.475

  10 in total

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