ISSAC Praveen

Predicting Allergenic Proteins Using Wavelet Transform

Published date : 29 Apr 2004

Motivation: With many transgenic proteins introduced today, the ability to predict their potential allergenicity has become an important issue. Previous studies were based on either sequence similarity or the protein motifs identified from known allergen databases. The similarity-based approaches, although being able to produce high recalls, usually have low prediction precisions. Previous motif-based approaches have been shown to be able to improve the precisions on cross-validation experiments.

type
Journal Paper
journal
Bioinformatics, 2004. 2004 Nov 1;20(16):2572-8, doi:10.1093/bioinformatics/bth286
Impact Factor
4.894

Rapid detection of conserved regions in protein sequences using wavelets

Published date : 08 Feb 2004

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.

type
Journal Paper
journal
In-Silico Biology 2004;4(2):133-48
Impact Factor
NIL