中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Structural-Based Strategy for Recognition of Transcription Factor Binding Sites

文献类型:期刊论文

作者Xu, Beisi1,2,3; Schones, Dustin E.4; Wang, Yongmei5; Liang, Haojun6; Li, Guohui1
刊名plos one
出版日期2013-01-08
卷号8期号:1页码:52460
ISSN号1932-6203
产权排序待补充
通讯作者李国辉
合作状况
英文摘要scanning through genomes for potential transcription factor binding sites (tfbss) is becoming increasingly important in this post-genomic era. the position weight matrix (pwm) is the standard representation of tfbss utilized when scanning through sequences for potential binding sites. however, many transcription factor (tf) motifs are short and highly degenerate, and methods utilizing pwms to scan for sites are plagued by false positives. furthermore, many important tfs do not have well-characterized pwms, making identification of potential binding sites even more difficult. one approach to the identification of sites for these tfs has been to use the 3d structure of the tf to predict the dna structure around the tf and then to generate a pwm from the predicted 3d complex structure. however, this approach is dependent on the similarity of the predicted structure to the native structure. we introduce here a novel approach to identify tfbss utilizing structure information that can be applied to tfs without characterized pwms, as long as a 3d complex structure (tf/dna) exists. this approach utilizes an energy function that is uniquely trained on each structure. our approach leads to increased prediction accuracy and robustness compared with those using a more general energy function. the software is freely available upon request.
WOS标题词science & technology
学科主题物理化学
类目[WOS]multidisciplinary sciences
研究领域[WOS]science & technology - other topics
关键词[WOS]protein-dna interactions ; structure-based prediction ; saccharomyces-cerevisiae ; energy function ; all-atom ; regulatory proteins ; target sites ; specificity ; complexes ; profiles
收录类别SCI
资助信息1,1
原文出处52460
语种英语
WOS记录号WOS:000313429800015
公开日期2014-09-11
源URL[http://159.226.238.44/handle/321008/119639]  
专题大连化学物理研究所_中国科学院大连化学物理研究所
作者单位1.Chinese Acad Sci, Dalian Inst Chem Phys, State Key Lab Mol React Dynam, Lab Mol Modeling & Design, Dalian, Liaoning, Peoples R China
2.Univ Tennessee, Ctr Hlth Sci, Dept Microbiol Immunol & Biochem, Memphis, TN 38163 USA
3.Univ Tennessee, Ctr Hlth Sci, Ctr Integrat & Translat Gen, Memphis, TN 38163 USA
4.City Hope Natl Med Ctr, Beckman Res Inst, Dept Canc Biol, Duarte, CA 91010 USA
5.Univ Memphis, Dept Chem, Memphis, TN 38152 USA
6.Univ Sci & Technol China, Dept Polymer Sci & Engn, Hefei, Anhui, Peoples R China
推荐引用方式
GB/T 7714
Xu, Beisi,Schones, Dustin E.,Wang, Yongmei,et al. A Structural-Based Strategy for Recognition of Transcription Factor Binding Sites[J]. plos one,2013,8(1):52460.
APA Xu, Beisi,Schones, Dustin E.,Wang, Yongmei,Liang, Haojun,&Li, Guohui.(2013).A Structural-Based Strategy for Recognition of Transcription Factor Binding Sites.plos one,8(1),52460.
MLA Xu, Beisi,et al."A Structural-Based Strategy for Recognition of Transcription Factor Binding Sites".plos one 8.1(2013):52460.

入库方式: OAI收割

来源:大连化学物理研究所

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