Literature DB >> 15107019

Rapid detection of conserved regions in protein sequences using wavelets.

Arun Krishnan1, Kuo-Bin Li, Praveen Issac.   

Abstract

We present an algorithm to detect protein sub-structural motifs from primary sequence. The input to the algorithm is a set of aligned multiple protein sequences. It uses wavelet transforms to decompose protein sequences represented numerically by different indices (such as polarity, accessible surface area or electron-ion integration potentials of the amino acids). The numerical representation of a protein sequence has significant correlation with its biological activity, thus common motifs are expected to be observable from the wavelet spectrum. The decomposed signals are then up-sampled and similarity search techniques are used to identify similar regions across all the proteins at multiple scales. Results indicate that wavelet transform techniques are a promising approach for rapid motif detection.

Mesh:

Year:  2004        PMID: 15107019

Source DB:  PubMed          Journal:  In Silico Biol        ISSN: 1386-6338


  2 in total

1.  Prediction of mitochondrial proteins using discrete wavelet transform.

Authors:  Lin Jiang; Menglong Li; Zhining Wen; Kelong Wang; Yuanbo Diao
Journal:  Protein J       Date:  2006-06       Impact factor: 2.371

2.  Wildfire: distributed, Grid-enabled workflow construction and execution.

Authors:  Francis Tang; Ching Lian Chua; Liang-Yoong Ho; Yun Ping Lim; Praveen Issac; Arun Krishnan
Journal:  BMC Bioinformatics       Date:  2005-03-24       Impact factor: 3.169

  2 in total

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