Literature DB >> 11889915

Coding rules for amino acids in the genetic code: the genetic code is a minimal code of mutational deterioration.

Liaofu Luo1, Xiaoqin Li.   

Abstract

Coding rules for amino acids in the genetic code are discussed from the point that the genetic code is a minimal code of mutational deterioration. The global mutational deterioration (GMD) function is defined through several parameters describing single base mutations and amino acid distances. The problem of searching for the global minimum of the GMD function is discussed in some detail. From GMD minimization under initial constraints we have succeeded in deducing the standard genetic code.

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Year:  2002        PMID: 11889915     DOI: 10.1023/a:1013963505140

Source DB:  PubMed          Journal:  Orig Life Evol Biosph        ISSN: 0169-6149            Impact factor:   1.950


  8 in total

1.  Evolution of the genetic code: the nonsense, antisense, and antinonsense codes make no sense.

Authors:  G Houen
Journal:  Biosystems       Date:  1999-12       Impact factor: 1.973

2.  Protein evolution drives the evolution of the genetic code and vice versa.

Authors:  M A Jiménez-Montaño
Journal:  Biosystems       Date:  1999-12       Impact factor: 1.973

3.  The distribution of amino acids in the genetic code.

Authors:  L F Luo
Journal:  Orig Life Evol Biosph       Date:  1989       Impact factor: 1.950

4.  The role of robustness and changeability on the origin and evolution of genetic codes.

Authors:  T Maeshiro; M Kimura
Journal:  Proc Natl Acad Sci U S A       Date:  1998-04-28       Impact factor: 11.205

5.  The degeneracy rule of genetic code.

Authors:  L F Luo
Journal:  Orig Life Evol Biosph       Date:  1988       Impact factor: 1.950

Review 6.  Evolution of the genetic code.

Authors:  J T Wong
Journal:  Microbiol Sci       Date:  1988-06

7.  Amino acid difference formula to help explain protein evolution.

Authors:  R Grantham
Journal:  Science       Date:  1974-09-06       Impact factor: 47.728

8.  On the optimization of the physicochemical distances between amino acids in the evolution of the genetic code.

Authors:  M Di Giulio; M R Capobianco; M Medugno
Journal:  J Theor Biol       Date:  1994-05-07       Impact factor: 2.691

  8 in total
  2 in total

Review 1.  The case for an error minimizing standard genetic code.

Authors:  Stephen J Freeland; Tao Wu; Nick Keulmann
Journal:  Orig Life Evol Biosph       Date:  2003-10       Impact factor: 1.950

Review 2.  Bioinformatics in China: a personal perspective.

Authors:  Liping Wei; Jun Yu
Journal:  PLoS Comput Biol       Date:  2008-04-25       Impact factor: 4.475

  2 in total

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