A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of evolutionary average hydrophobicity profile from a family of protein sequences
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
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In an attempt to incorporate environmental effects like cold-adaptation into models of sequence evolution on a phylogenetic tree, we present a viable way of representing descriptive statistics of sequence observables under reversible Markov models of sequence evolution. Local variation in amino acid distribution along and across the sequence family can be connected to enzymatic adaptation to different temperatures. Here, we estimate a few amino acid properties and how the variations of these properties both with respect excess mean values (EMVs) and covariance classify the protein family into clusters. Application of a multiscale and multivariate method to an aligned family of distinct trypsin and elastase sequences shows drift of centroid mean sequences of cold adapted enzymes compared to their warm-active counterparts.