Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Multipattern Consensus Regions in Multiple Aligned Protein Sequences and Their Segmentation | Hindawi Publishing Corporation EURASIP Journal on Bioinformatics and Systems Biology Volume 2006 Article ID 35809 Pages 1-8 DOI BSB 2006 35809 Multipattern Consensus Regions in Multiple Aligned Protein Sequences and Their Segmentation David K. Y. Chiu and Yan Wang Department of Computing and Information Science University of Guelph Guelph ON Canada N1G2W1 Received 23 November 2005 Revised 22 May 2006 Accepted 7 June 2006 Recommended for Publication by John Quackenbush Decomposing a biological sequence into its functional regions is an important prerequisite to understand the molecule. Using the multiple alignments of the sequences we evaluate a segmentation based on the type of statistical variation pattern from each of the aligned sites. To describe such a more general pattern we introduce multipattern consensus regions as segmented regions based on conserved as well as interdependent patterns. Thus the proposed consensus region considers patterns that are statistically significant and extends a local neighborhood. To show its relevance in protein sequence analysis a cancer suppressor gene called p53 is examined. The results show significant associations between the detected regions and tendency of mutations location on the 3D structure and cancer hereditable factors that can be inferred from human twin studies. Copyright 2006 D. K. Y. Chiu and Y. Wang. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Decomposing a sequence into regions can be extremely important in understanding the functional characteristics of the biomolecule. Performing this using multiple alignments of the sequence family can dramatically improve the reliability of the interpretation as well as capturing the overall property beyond the original sequence. Thus consensus sequence or frequency pattern along a .
