Literature DB >> 15600666

Designing specificity of protein-substrate interactions.

Ivan Coluzza1, Daan Frenkel.   

Abstract

One of the key properties of biological molecules is that they can bind strongly to certain substrates yet interact only weakly with the very large number of other molecules that they encounter. Using a simple lattice model, we test several methods to design molecule-substrate binding specificity. We characterize the binding free energy and binding energy as a function of the size of the interacting units. Our simulations indicate that there exists a temperature window where specific binding is possible. Binding sites that have been designed to interact quite strongly with specific substrates are unlikely to bind nonspecifically to other substrates. In other words, the conflict between specific interactions between small numbers of biomolecules and weak, nonspecific interaction with the rest need not be a very serious design constraint.

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Year:  2004        PMID: 15600666     DOI: 10.1103/PhysRevE.70.051917

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


  8 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.  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

4.  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

5.  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

6.  The role of directional interactions in the designability of generalized heteropolymers.

Authors:  Chiara Cardelli; Valentino Bianco; Lorenzo Rovigatti; Francesca Nerattini; Luca Tubiana; Christoph Dellago; Ivan Coluzza
Journal:  Sci Rep       Date:  2017-07-10       Impact factor: 4.379

7.  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

8.  Disordered flanks prevent peptide aggregation.

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

  8 in total

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