Literature DB >> 8676741

Combining protein evolution and secondary structure.

J L Thorne1, N Goldman, D T Jones.   

Abstract

An evolutionary model that combines protein secondary structure and amino acid replacement is introduced. It allows likelihood analysis of aligned protein sequences and does not require the underlying secondary (or tertiary) structures of these sequences to be known. One component of the model describes the organization of secondary structure along a protein sequence and another specifies the evolutionary process for each category of secondary structure. A database of proteins with known secondary structures is used to estimate model parameters representing these two components. Phylogeny, the third component of the model, can be estimated from the data set of interest. As an example, we employ our model to analyze a set of sucrose synthase sequences. For the evolution of sucrose synthase, a parametric bootstrap approach indicates that our model is statistically preferable to one that ignores secondary structure.

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Year:  1996        PMID: 8676741     DOI: 10.1093/oxfordjournals.molbev.a025627

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  52 in total

Review 1.  Examining rates and patterns of nucleotide substitution in plants.

Authors:  S V Muse
Journal:  Plant Mol Biol       Date:  2000-01       Impact factor: 4.076

2.  Reliable prediction of T-cell epitopes using neural networks with novel sequence representations.

Authors:  Morten Nielsen; Claus Lundegaard; Peder Worning; Sanne Lise Lauemøller; Kasper Lamberth; Søren Buus; Søren Brunak; Ole Lund
Journal:  Protein Sci       Date:  2003-05       Impact factor: 6.725

3.  Pfold: RNA secondary structure prediction using stochastic context-free grammars.

Authors:  Bjarne Knudsen; Jotun Hein
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

Review 4.  Genomic biodiversity, phylogenetics and coevolution in proteins.

Authors:  David D Pollock
Journal:  Appl Bioinformatics       Date:  2002

5.  Dimensionality reduction in computational demarcation of protein tertiary structures.

Authors:  Rajani R Joshi; Priyabrata R Panigrahi; Reshma N Patil
Journal:  J Mol Model       Date:  2011-11-25       Impact factor: 1.810

6.  Amino acid coevolution induces an evolutionary Stokes shift.

Authors:  David D Pollock; Grant Thiltgen; Richard A Goldstein
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-30       Impact factor: 11.205

7.  The role of the proteasome in generating cytotoxic T-cell epitopes: insights obtained from improved predictions of proteasomal cleavage.

Authors:  Morten Nielsen; Claus Lundegaard; Ole Lund; Can Keşmir
Journal:  Immunogenetics       Date:  2005-03-03       Impact factor: 2.846

8.  A mixed branch length model of heterotachy improves phylogenetic accuracy.

Authors:  Bryan Kolaczkowski; Joseph W Thornton
Journal:  Mol Biol Evol       Date:  2008-03-03       Impact factor: 16.240

9.  Dynamic behavior of an intrinsically unstructured linker domain is conserved in the face of negligible amino acid sequence conservation.

Authors:  Gary W Daughdrill; Pranesh Narayanaswami; Sara H Gilmore; Agniezka Belczyk; Celeste J Brown
Journal:  J Mol Evol       Date:  2007-08-25       Impact factor: 2.395

10.  The genetic code can cause systematic bias in simple phylogenetic models.

Authors:  Simon Whelan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-12-27       Impact factor: 6.237

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