2016
DOI: 10.3390/jdb4010008
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Solving Classification Problems for Large Sets of Protein Sequences with the Example of Hox and ParaHox Proteins

Abstract: Phylogenetic methods are key to providing models for how a given protein family evolved. However, these methods run into difficulties when sequence divergence is either too low or too high. Here, we provide a case study of Hox and ParaHox proteins so that additional insights can be gained using a new computational approach to help solve old classification problems. For two (Gsx and Cdx) out of three ParaHox proteins the assignments differ between the currently most established view and four alternative scenari… Show more

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Cited by 2 publications
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“…It has been shown that pairwise sequence similarity can provide a more powerful approach than phylogeny-based methods (42) for highly divergent protein sequences. We include three-way sequence similarity for extra sensitivity.…”
Section: Introductionmentioning
confidence: 99%
“…It has been shown that pairwise sequence similarity can provide a more powerful approach than phylogeny-based methods (42) for highly divergent protein sequences. We include three-way sequence similarity for extra sensitivity.…”
Section: Introductionmentioning
confidence: 99%
“…Collinearity of expression and Hox cluster structure are discussed in relation to the evolutionary relationships between the various lophotrochozoan phyla. While Hueber and Frickney [ 7 ] report a new computational method, based on pairwise sequence comparisons, for solving the problems that conventional phylogenetic methods encounter when dealing with protein sequences that are either highly or only slightly divergent. They use Hox and Para-Hox proteins as a paradigm to demonstrate the soundness of their method, providing an improved classification and phylogenetic reconstruction of the relationships between Hox and Para-Hox proteins.…”
mentioning
confidence: 99%