Literature DB >> 11381526

Evolution of functionality in lattice proteins.

P D Williams1, D D Pollock, R A Goldstein.   

Abstract

We study the evolution of protein functionality using a two-dimensional lattice model. The characteristics particular to evolution, such as population dynamics and early evolutionary trajectories, have a large effect on the distribution of observed structures. Only subtle differences are observed between the distribution of structures evolved for function and those evolved for their ability to form compact structures.

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Year:  2001        PMID: 11381526      PMCID: PMC2943963          DOI: 10.1016/s1093-3263(00)00125-x

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  15 in total

1.  The evolutionary landscape of functional model proteins.

Authors:  J D Hirst
Journal:  Protein Eng       Date:  1999-09

2.  The distribution of structures in evolving protein populations.

Authors:  D M Taverna; R A Goldstein
Journal:  Biopolymers       Date:  2000-01       Impact factor: 2.505

3.  Gradual development of protein-like global structures through functional selection.

Authors:  T Yomo; S Saito; M Sasai
Journal:  Nat Struct Biol       Date:  1999-08

4.  Evolution of model proteins on a foldability landscape.

Authors:  S Govindarajan; R A Goldstein
Journal:  Proteins       Date:  1997-12

5.  Emergence of preferred structures in a simple model of protein folding.

Authors:  H Li; R Helling; C Tang; N Wingreen
Journal:  Science       Date:  1996-08-02       Impact factor: 47.728

6.  Statistical mechanics of simple models of protein folding and design.

Authors:  V S Pande; A Y Grosberg; T Tanaka
Journal:  Biophys J       Date:  1997-12       Impact factor: 4.033

7.  Why are some proteins structures so common?

Authors:  S Govindarajan; R A Goldstein
Journal:  Proc Natl Acad Sci U S A       Date:  1996-04-16       Impact factor: 11.205

8.  On the thermodynamic hypothesis of protein folding.

Authors:  S Govindarajan; R A Goldstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-05-12       Impact factor: 11.205

9.  Protein design: a perspective from simple tractable models

Authors: 
Journal:  Fold Des       Date:  1998

10.  Impact of local and non-local interactions on thermodynamics and kinetics of protein folding.

Authors:  V I Abkevich; A M Gutin; E I Shakhnovich
Journal:  J Mol Biol       Date:  1995-09-29       Impact factor: 5.469

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  21 in total

Review 1.  Natively unfolded proteins: a point where biology waits for physics.

Authors:  Vladimir N Uversky
Journal:  Protein Sci       Date:  2002-04       Impact factor: 6.725

2.  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

3.  Funnel-like organization in sequence space determines the distributions of protein stability and folding rate preferred by evolution.

Authors:  Yu Xia; Michael Levitt
Journal:  Proteins       Date:  2004-04-01

4.  Kinetics of protein-DNA interaction: facilitated target location in sequence-dependent potential.

Authors:  Michael Slutsky; Leonid A Mirny
Journal:  Biophys J       Date:  2004-10-01       Impact factor: 4.033

5.  Context dependence and coevolution among amino acid residues in proteins.

Authors:  Zhengyuan O Wang; David D Pollock
Journal:  Methods Enzymol       Date:  2005       Impact factor: 1.600

6.  Comparing folding codes in simple heteropolymer models of protein evolutionary landscape: robustness of the superfunnel paradigm.

Authors:  Richard Wroe; Erich Bornberg-Bauer; Hue Sun Chan
Journal:  Biophys J       Date:  2004-10-22       Impact factor: 4.033

7.  A structural model of latent evolutionary potentials underlying neutral networks in proteins.

Authors:  Richard Wroe; Hue Sun Chan; Erich Bornberg-Bauer
Journal:  HFSP J       Date:  2007-05-21

Review 8.  Advantages of proteins being disordered.

Authors:  Zhirong Liu; Yongqi Huang
Journal:  Protein Sci       Date:  2014-03-17       Impact factor: 6.725

9.  Divergence, recombination and retention of functionality during protein evolution.

Authors:  Yanlong O Xu; Randall W Hall; Richard A Goldstein; David D Pollock
Journal:  Hum Genomics       Date:  2005-09       Impact factor: 4.639

10.  Computational Cellular Dynamics Based on the Chemical Master Equation: A Challenge for Understanding Complexity.

Authors:  Jie Liang; Hong Qian
Journal:  J Comput Sci Technol       Date:  2010-01       Impact factor: 1.571

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