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A novel computational method to predict transcription factor dna binding preference
Qian, Ziliang; Cai, Yu-Dong; Li, Yixue
刊名Biochemical and biophysical research communications
2006-09-29
卷号348期号:3页码:1034-1037
关键词Transcription factor Transcription factor dna binding preference Nearest neighbor algorithm 0/1 system Jackknife cross-validation test Gene ontology
ISSN号0006-291X
DOI10.1016/j.bbrc.2006.07.149
通讯作者Cai, yu-dong(cyd@picb.ac.cn)
英文摘要Transcription factor binds to sequence specific sites in regulatory region to control nearby gene's expression. it is termed as the major regulator of transcription. however, identifying dna binding preference of transcription factors systematically is still a challenge. by using the nearest neighbor algorithm, a novel computational approach was developed to predict transcription factor dna binding preference based on the gene ontology [m. ashburner, c.a. ball, j.a. blake, d. botstein, h. butler, j.m. cherry, a.p. davis, k. dolinski, s.s. dwight, j.t. eppig, m.a. harris, d.p. hill, l. issel-tarver, a. kasarskis, s. lewis, j.c. matese, j.e. richardson, m. ringwald, g.m. rubin, g. sherlock, gene ontology: tool for the unification of biology, nat. genet. 25 (2000) 25-29.] and 0/1 encoding system of nucleotide. the overall success rate of jackknife cross-validation test for our predictor reaches 76.6%, which indicates the dna binding preference is closely correlated with its biological functions and computational method developed in this contribution could be a powerful tool to investigate transcription factor dna binding preference, especially for those novel transcription factors with little prior knowledge on its dna binding preference. (c) 2006 elsevier inc. all rights reserved.
WOS关键词FUNCTIONAL DOMAIN COMPOSITION ; HYBRIDIZATION SPACE ; GENE ONTOLOGY ; PROTEINS ; SITES ; RECOGNITION ; DISCOVERY ; FAMILY ; CODE ; GO
WOS研究方向Biochemistry & Molecular Biology ; Biophysics
WOS类目Biochemistry & Molecular Biology ; Biophysics
语种英语
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
WOS记录号WOS:000240166500035
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2379515
专题中国科学院大学
通讯作者Cai, Yu-Dong
作者单位1.Chinese Acad Sci, Shanghai Inst Biol Sci, MPG Partner Int Computat Biol, Beijing 100864, Peoples R China
2.Chinese Acad Sci, Shanghai Inst Biol Sci, Bioinformat Ctr, Shanghai 200031, Peoples R China
3.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
4.Univ Manchester, Inst Sci & Technol, Dept Math, Manchester M60 1QD, Lancs, England
5.Shanghai Ctr Bioinformat Technol, Shanghai 200235, Peoples R China
推荐引用方式
GB/T 7714
Qian, Ziliang,Cai, Yu-Dong,Li, Yixue. A novel computational method to predict transcription factor dna binding preference[J]. Biochemical and biophysical research communications,2006,348(3):1034-1037.
APA Qian, Ziliang,Cai, Yu-Dong,&Li, Yixue.(2006).A novel computational method to predict transcription factor dna binding preference.Biochemical and biophysical research communications,348(3),1034-1037.
MLA Qian, Ziliang,et al."A novel computational method to predict transcription factor dna binding preference".Biochemical and biophysical research communications 348.3(2006):1034-1037.
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