Literature DB >> 2098695

A statistical theory of amino acid mutation.

L F Luo1, Y M Zhou.   

Abstract

Assuming that the observed mutation frequency of an amino acid depends on two factors. The first is mutation coefficient which describes the rate of the nucleotide substitution stochastically and the second is the similarity of amino acids which represents the fitness of a mutant under the selective pressure. A statistical theory is proposed and 380 mutation frequencies are calculated, only 10 of which disagree obviously with the observed data.

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Year:  1990        PMID: 2098695     DOI: 10.1007/bf01808136

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


  8 in total

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

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

2.  The degeneracy rule of genetic code.

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

3.  The classification of amino acid conservation.

Authors:  W R Taylor
Journal:  J Theor Biol       Date:  1986-03-21       Impact factor: 2.691

4.  The use of Markov chain models in studying the evolution of the proteins.

Authors:  R N Curnow
Journal:  J Theor Biol       Date:  1988-09-09       Impact factor: 2.691

5.  Universal regularities in protein primary structure: preference in bonding and periodicity.

Authors:  O C Ivanov; B Förtsch
Journal:  Orig Life Evol Biosph       Date:  1986       Impact factor: 1.950

6.  Absorbent Markov chains as a model for the study of the evolution of proteins.

Authors:  M Di Giulio; F Caldararo
Journal:  J Theor Biol       Date:  1987-02-21       Impact factor: 2.691

7.  A similarity ring for amino acids based on their evolutionary substitution rates.

Authors:  E Argyle
Journal:  Orig Life       Date:  1980-12

8.  Complete sequence of bovine mitochondrial DNA. Conserved features of the mammalian mitochondrial genome.

Authors:  S Anderson; M H de Bruijn; A R Coulson; I C Eperon; F Sanger; I G Young
Journal:  J Mol Biol       Date:  1982-04-25       Impact factor: 5.469

  8 in total

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