Title :
Searching the regulatory protein binding site by steepest ascent algorithm
Author :
Huang, W.F. ; Tsai, Jeffrey J P ; Hu, R.M. ; Chen, R.M.
Author_Institution :
Dept. of Comput. Sci., Illinois Univ., Chicago, IL, USA
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 the mechanism of control of gene transcription more. 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 sequence and scoring matrices with suitable bioconditions. The steepest ascent algorithm is adopted to search the possible locations of binding sites. The predicted results of regulatory protein binding sites are displayed with table and charts. The proposed system will help the biologists to analyze the regulatory protein binding sites more efficiently, and to develop effective drugs for genetic diseases.
Keywords :
DNA; biology computing; diseases; genetics; molecular biophysics; proteins; DNA sequence; drugs; gene transcription regulation; genetic diseases; regulatory protein binding site searching; steepest ascent algorithm; Bioinformatics; Cells (biology); DNA; Diseases; Drugs; Genetics; Protein engineering; RNA; Sequences; Technology management;
Conference_Titel :
Multimedia Software Engineering, 2003. Proceedings. Fifth International Symposium on
Conference_Location :
Taichung, Taiwan
Print_ISBN :
0-7695-2031-6
DOI :
10.1109/MMSE.2003.1254457