Literature DB >> 9089075

Converting amino acid alignment scores into measures of evolutionary time: a simulation study of various relationships.

D F Feng1, R F Doolittle.   

Abstract

Amino acid substitution tables are essential for the proper alignment of protein sequences, and alignment scores based on them can be transformed into distance measures by various means. In the simplest case, the negative log of the score is used. This Poisson relationship assumes that all sites are equally likely to change, however. A more accurate relationship would correct for different rates of change at each residue position. Recently, Grishin (J. Mol. Evol. 41:675-679, 1995) published a set of simple equations that correct for various circumstances, including different rates of change at different sites. We have used these equations in conjunction with similarity scores that take into account constraints on amino acid interchange. Simulation studies show a linear relationship between these calculated distances and the numbers of allowed mutations based on the observed variation of rate at all sites in various proteins.

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Year:  1997        PMID: 9089075     DOI: 10.1007/pl00006155

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


  10 in total

1.  From complete genomes to measures of substitution rate variability within and between proteins.

Authors:  N V Grishin; Y I Wolf; E V Koonin
Journal:  Genome Res       Date:  2000-07       Impact factor: 9.043

2.  Divergent evolution within protein superfolds inferred from profile-based phylogenetics.

Authors:  Douglas L Theobald; Deborah S Wuttke
Journal:  J Mol Biol       Date:  2005-09-20       Impact factor: 5.469

3.  Using protein design for homology detection and active site searches.

Authors:  Jimin Pei; Nikolay V Dokholyan; Eugene I Shakhnovich; Nick V Grishin
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-15       Impact factor: 11.205

4.  Determining divergence times with a protein clock: update and reevaluation.

Authors:  D F Feng; G Cho; R F Doolittle
Journal:  Proc Natl Acad Sci U S A       Date:  1997-11-25       Impact factor: 11.205

Review 5.  Measuring genome evolution.

Authors:  M A Huynen; P Bork
Journal:  Proc Natl Acad Sci U S A       Date:  1998-05-26       Impact factor: 11.205

6.  Complete genomic sequence of Pasteurella multocida, Pm70.

Authors:  B J May; Q Zhang; L L Li; M L Paustian; T S Whittam; V Kapur
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-06       Impact factor: 11.205

7.  Detecting Coevolution of Functionally Related Proteins for Automated Protein Annotation.

Authors:  Alan L Kwan; Susan K Dutcher; Gary D Stormo
Journal:  Proc IEEE Int Symp Bioinformatics Bioeng       Date:  2010

8.  What was the set of ubiquitin and ubiquitin-like conjugating enzymes in the eukaryote common ancestor?

Authors:  Caroline Michelle; Patrick Vourc'h; Laurence Mignon; Christian R Andres
Journal:  J Mol Evol       Date:  2009-05-19       Impact factor: 2.395

9.  Genome trees constructed using five different approaches suggest new major bacterial clades.

Authors:  Y I Wolf; I B Rogozin; N V Grishin; R L Tatusov; E V Koonin
Journal:  BMC Evol Biol       Date:  2001-10-20       Impact factor: 3.260

10.  A configuration space of homologous proteins conserving mutual information and allowing a phylogeny inference based on pair-wise Z-score probabilities.

Authors:  Olivier Bastien; Philippe Ortet; Sylvaine Roy; Eric Maréchal
Journal:  BMC Bioinformatics       Date:  2005-03-10       Impact factor: 3.169

  10 in total

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