Literature DB >> 10506281

The evolutionary landscape of functional model proteins.

J D Hirst1.   

Abstract

To study the distinct influences of structure and function on evolution, we propose a minimalist model for proteins with binding pockets, called functional model proteins, based on a shifted-HP model on a two-dimensional square lattice. These model proteins are not maximally compact and contain an empty lattice site surrounded by at least three nearest neighbors, thus providing a binding pocket. Functional model proteins possess a unique native state, cooperative folding and tolerance to mutation. Due to the explicit functionality in these models (by design), we have been able to explore their fitness or evolutionary landscapes, as characterized by the size and distribution of homologous families and by the complexity of the inter-relatedness of the functional model proteins. Mindful that these minimalist models are highly idealized and two-dimensional, functional model proteins should nevertheless provide a useful means for exploring the constraints of maintaining structure and function on the evolution of proteins.

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Year:  1999        PMID: 10506281     DOI: 10.1093/protein/12.9.721

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  10 in total

1.  Recombinatoric exploration of novel folded structures: a heteropolymer-based model of protein evolutionary landscapes.

Authors:  Yan Cui; Wing Hung Wong; Erich Bornberg-Bauer; Hue Sun Chan
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-22       Impact factor: 11.205

2.  Evolution of functionality in lattice proteins.

Authors:  P D Williams; D D Pollock; R A Goldstein
Journal:  J Mol Graph Model       Date:  2001       Impact factor: 2.518

3.  Solvent-amino acid interaction energies in three-dimensional-lattice Monte Carlo simulations of a model 27-mer protein: Folding thermodynamics and kinetics.

Authors:  Kai Leonhard; John M Prausnitz; Clayton J Radke
Journal:  Protein Sci       Date:  2004-02       Impact factor: 6.725

4.  Stability and the evolvability of function in a model protein.

Authors:  Jesse D Bloom; Claus O Wilke; Frances H Arnold; Christoph Adami
Journal:  Biophys J       Date:  2004-05       Impact factor: 4.033

5.  Correlation between the conformation space and the sequence space of Peptide chain.

Authors:  T N Sasaki; M Sasai
Journal:  J Biol Phys       Date:  2002-09       Impact factor: 1.365

6.  Enumerating Designing Sequences in the HP Model.

Authors:  Anders Irbäck; Carl Troein
Journal:  J Biol Phys       Date:  2002-03       Impact factor: 1.365

7.  Biophysics of protein evolution and evolutionary protein biophysics.

Authors:  Tobias Sikosek; Hue Sun Chan
Journal:  J R Soc Interface       Date:  2014-11-06       Impact factor: 4.118

8.  SELECTIVE ADVANTAGE OF RECOMBINATION IN EVOLVING PROTEIN POPULATIONS: A LATTICE MODEL STUDY.

Authors:  Paul D Williams; David D Pollock; Richard A Goldstein
Journal:  Int J Mod Phys C       Date:  2006-01       Impact factor: 1.176

9.  Stylus: a system for evolutionary experimentation based on a protein/proteome model with non-arbitrary functional constraints.

Authors:  Douglas D Axe; Brendan W Dixon; Philip Lu
Journal:  PLoS One       Date:  2008-06-04       Impact factor: 3.240

10.  A review of estimation of distribution algorithms in bioinformatics.

Authors:  Rubén Armañanzas; Iñaki Inza; Roberto Santana; Yvan Saeys; Jose Luis Flores; Jose Antonio Lozano; Yves Van de Peer; Rosa Blanco; Víctor Robles; Concha Bielza; Pedro Larrañaga
Journal:  BioData Min       Date:  2008-09-11       Impact factor: 2.522

  10 in total

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