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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/2037


    Title: Searching the Regulatory Protein Binding Site by Steepest Ascent Algorithm
    Authors: JEFFREY J. P. TSAI;R.M. HU;R.M. CHEN;W. F. HUANG
    Contributors: Department of Computer Science, University of Illinois at Chicago
    Keywords: DNA;regulatory protein binding sitetranscription;translation;gene expressionsteepest ascent algorithm
    Date: 2006-04-01
    Issue Date: 2009-10-13 14:53:49 (UTC+8)
    Publisher: Asia University
    Abstract: Gene transcription regulation impacts the final expression of gene. Generally gene expression is
    regulated via an interaction between regulatory proteins and specific DNA elements. If we find out the
    binding sites of regulatory factors, we could understand more of the control mechanism of gene
    transcription. For this reason, it is a very important issue to find out the regulatory factors of gene
    transcription. We propose a method to find out the regulatory protein binding sites from the
    comparisons of DNA sequences and scoring matrices. The steepest ascent algorithm is adopted to
    search the possible locations of binding sites. The predicted results of regulatory protein binding sites
    are shown with tables and charts. The proposed system in this paper will help biologists to analyze the
    regulatory protein binding sites more efficiently.
    Relation: Asian Journal of Health and Information Sciences 1(1):122-133
    Appears in Collections:[Asian Journal of Health and Information Sciences] v.1 n.1

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