Literature DB >> 1185793

Compositional nonrandomness: a quantitatively conserved evolutionary invariant.

R Halmquist, H Moise.   

Abstract

The a priori probability that the amino acid composition of a protein will exhibit a given overall deviation from the genetic code table frequencies is the same for all protein families independent of protein length, biological function, or origin.

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Year:  1975        PMID： 1185793     DOI： 10.1007/bf01732670

Source DB:  PubMed          Journal:  J Mol Evol        ISSN： 0022-2844            Impact factor:   2.395


  5 in total

1.  Tables of critical values for examining compositional non-randomness in proteins and nucleic acids.

Authors:  M Laird; R Holmquist
Journal:  J Mol Evol       Date:  1975-03-24       Impact factor: 2.395

2.  Deviations from compositional randomness in eukaryotic and prokaryotic proteins: the hypothesis of selective-stochastic stability and a principle of charge conservation.

Authors:  R Holmquist
Journal:  J Mol Evol       Date:  1975-03-24       Impact factor: 2.395

3.  The amino acid sequence of a DNA binding protein, the gene 5 product of fd filamentous bacteriophage.

Authors:  Y Nakashima; A K Dunker; D A Marvin; W Konigsberg
Journal:  FEBS Lett       Date:  1974-04-01       Impact factor: 4.124

4.  Conservation of Shannon's redundancy for proteins.

Authors:  L L Gatlin
Journal:  J Mol Evol       Date:  1974       Impact factor: 2.395

5.  Non-Darwinian evolution.

Authors:  J L King; T H Jukes
Journal:  Science       Date:  1969-05-16       Impact factor: 47.728
  5 in total
  6 in total

1.  Evolutionary changes in protein composition -- evidence for an optimal strategy.

Authors:  R Coutelle; G L Hofacker; R D Levine
Journal:  J Mol Evol       Date:  1979-06-08       Impact factor: 2.395

2.  The amino acid compositions of proteins are correlated with their molecular sizes.

Authors:  A Cornish-Bowden
Journal:  Biochem J       Date:  1983-07-01       Impact factor: 3.857

3.  Evaluation of compositional nonrandomness in proteins.

Authors:  R Holmquist
Journal:  J Mol Evol       Date:  1978-10-06       Impact factor: 2.395

4.  Theoretical foundations for quantitative paleogenetics. Part III: The molecular divergence of nucleic acids and proteins for the case of genetic events of unequal probability.

Authors:  R Holmquist; D Pearl
Journal:  J Mol Evol       Date:  1980-12       Impact factor: 2.395

5.  Evaluation of the non-randomness of protein compositions.

Authors:  A Cornish-Bowden; A Marson
Journal:  J Mol Evol       Date:  1977-12-29       Impact factor: 2.395

6.  Mathematical modeling and comparison of protein size distribution in different plant, animal, fungal and microbial species reveals a negative correlation between protein size and protein number, thus providing insight into the evolution of proteomes.

Authors:  Axel Tiessen; Paulino Pérez-Rodríguez; Luis José Delaye-Arredondo
Journal:  BMC Res Notes       Date:  2012-02-01
  6 in total

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