Searching the Regulatory Protein Binding Site by Steepest Ascent Algorithm

ASIAIR > College of Computer Science > Department of Biomedical informatics > Journal Article > Item 310904400/16574

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Title:	Searching the Regulatory Protein Binding Site by Steepest Ascent Algorithm
Authors:	蔡進發;Jeffrey, J.P.Tsai
Contributors:	生物與醫學資訊學系
Keywords:	DNA;regulatory protein binding site;transcription;translation;gene expression;steepest ascent algorithm.
Date:	2006
Issue Date:	2012-11-23 17:14:42 (UTC+8)
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
Appears in Collections:	[Department of Biomedical informatics ] Journal Article

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