Literature DB >> 9080185

Design of proteins with selected thermal properties.

M P Morrissey1, E I Shakhnovich.   

Abstract

BACKGROUND: Methods of model protein design have until now been largely ad hoc, yielding sequences that are foldable only at some seemingly arbitrary simulation temperature. But real proteins exist and must fold within an imposed thermal environment. The need exists for a sequence design method based on statistical-mechanical first principles, thus containing a rigorous treatment of folding temperature.
RESULTS: In this work, we report a method of rational sequence design that takes a target structure and a desired optimal folding temperature TZ and generates a sequence that is predicted to be thermodynamically stable with respect to the target structure at a folding temperature TF approximately TZ. This 'cumulant design method' is based on a mean-field high temperature expansion of the molecular partition function. Folding simulations of the designed sequences confirm that sequences designed at TZ do indeed fold optimally when TF approximately TZ.
CONCLUSIONS: The cumulant method is highly successful in designing model proteins. It also provides some insight into the thermal properties of real proteins, illuminating the features that distinguish thermostable and psychotropic (cold-loving) sequences from their mesophilic counterparts.

Mesh:

Substances:

Year:  1996        PMID: 9080185     DOI: 10.1016/S1359-0278(96)00054-5

Source DB:  PubMed          Journal:  Fold Des        ISSN: 1359-0278


  7 in total

1.  A self-consistent knowledge-based approach to protein design.

Authors:  A Rossi; C Micheletti; F Seno; A Maritan
Journal:  Biophys J       Date:  2001-01       Impact factor: 4.033

Review 2.  Protein folding thermodynamics and dynamics: where physics, chemistry, and biology meet.

Authors:  Eugene Shakhnovich
Journal:  Chem Rev       Date:  2006-05       Impact factor: 60.622

3.  Energy profile of the space of model protein sequences.

Authors:  G Tiana; R A Broglia; E I Shakhnovich
Journal:  J Biol Phys       Date:  2001-06       Impact factor: 1.365

4.  Predicting the tertiary structure of a lattice designed model protein from its primary structure.

Authors:  R A Broglia; G Tiana
Journal:  J Biol Phys       Date:  2001-06       Impact factor: 1.365

5.  De novo self-assembling collagen heterotrimers using explicit positive and negative design.

Authors:  Fei Xu; Lei Zhang; Ronald L Koder; Vikas Nanda
Journal:  Biochemistry       Date:  2010-03-23       Impact factor: 3.162

6.  Positive and negative design in stability and thermal adaptation of natural proteins.

Authors:  Igor N Berezovsky; Konstantin B Zeldovich; Eugene I Shakhnovich
Journal:  PLoS Comput Biol       Date:  2007-02-01       Impact factor: 4.475

7.  A first-principles model of early evolution: emergence of gene families, species, and preferred protein folds.

Authors:  Konstantin B Zeldovich; Peiqiu Chen; Boris E Shakhnovich; Eugene I Shakhnovich
Journal:  PLoS Comput Biol       Date:  2007-07       Impact factor: 4.475

  7 in total

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