Literature DB >> 15062078

Computational analysis of sequence selection mechanisms.

Leonid Meyerguz1, Catherine Grasso, Jon Kleinberg, Ron Elber.   

Abstract

Mechanisms leading to gene variations are responsible for the diversity of species and are important components of the theory of evolution. One constraint on gene evolution is that of protein foldability; the three-dimensional shapes of proteins must be thermodynamically stable. We explore the impact of this constraint and calculate properties of foldable sequences using 3660 structures from the Protein Data Bank. We seek a selection function that receives sequences as input, and outputs survival probability based on sequence fitness to structure. We compute the number of sequences that match a particular protein structure with energy lower than the native sequence, the density of the number of sequences, the entropy, and the "selection" temperature. The mechanism of structure selection for sequences longer than 200 amino acids is approximately universal. For shorter sequences, it is not. We speculate on concrete evolutionary mechanisms that show this behavior.

Mesh:

Year:  2004        PMID: 15062078     DOI: 10.1016/j.str.2004.02.018

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  9 in total

Review 1.  Protein folding thermodynamics and dynamics: where physics, chemistry, and biology meet.

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

2.  Protein stability imposes limits on organism complexity and speed of molecular evolution.

Authors:  Konstantin B Zeldovich; Peiqiu Chen; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-03       Impact factor: 11.205

3.  The network of sequence flow between protein structures.

Authors:  Leonid Meyerguz; Jon Kleinberg; Ron Elber
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-27       Impact factor: 11.205

4.  Comprehensive analysis of sequences of a protein switch.

Authors:  Szu-Hua Chen; Jaroslaw Meller; Ron Elber
Journal:  Protein Sci       Date:  2015-07-01       Impact factor: 6.725

5.  Coevolutionary information, protein folding landscapes, and the thermodynamics of natural selection.

Authors:  Faruck Morcos; Nicholas P Schafer; Ryan R Cheng; José N Onuchic; Peter G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2014-08-11       Impact factor: 11.205

6.  Super folds, networks, and barriers.

Authors:  Sean Burke; Ron Elber
Journal:  Proteins       Date:  2011-11-17

7.  A coarse-grained potential for fold recognition and molecular dynamics simulations of proteins.

Authors:  Peter Májek; Ron Elber
Journal:  Proteins       Date:  2009-09

8.  Computational exploration of the network of sequence flow between protein structures.

Authors:  Baoqiang Cao; Ron Elber
Journal:  Proteins       Date:  2010-03

9.  A generic force field for protein coarse-grained molecular dynamics simulation.

Authors:  Junfeng Gu; Fang Bai; Honglin Li; Xicheng Wang
Journal:  Int J Mol Sci       Date:  2012-11-08       Impact factor: 5.923

  9 in total

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