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基于结构模型的DBP-DNA识别及预测研究综述 被引量:2

OVERVIEW ON STRUCTURAL MODEL-BASED DBP-DNA RECOGNITION AND PREDICTION RESEARCHES
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摘要 DNA结合蛋白DBP(DNA Binding Protein)对细胞内遗传物质的生命活动中起着至关重要的作用,包括染色体的复制、剪切及基因表达调控。DBP通过与DNA发生结合反应,行使各种不同的生物功能。因此研究DBP-DNA之间的识别规律,对基因调控分析、蛋白功能预测和转录因子结合位点预测有着十分重要的意义。随着DBP-DNA复合物结构数据库的出现,基于结构信息的计算机分析方法为DBP与DNA之间的相互作用研究提供了新的发展契机。介绍了若干经典的DBP-DNA结构模型,简要评述了DBP-DNA结构分析方法目前的研究现状。 DNA Binding Protein(DBP) is of critical importance for life activities of intercellular genetic materials,including chromosome's replication,shearing and gene expression regulation.DBP executes different biological functions through generating binding reactions with DNA.Therefore the researches on DBP-DNA's recognition rule have great significance for gene regulation analysis,protein function prediction and transcription factor binding sites prediction.Along with the appearance of DBP-DNA complex structure database,computer analysing method based on structural information has provided a new development prospect on DBP-DNA interaction researches.Here we reviewed a couple of classic DBP-DNA structural models and briefly commented the status quo of present DBP-DNA's structural analysis methods.
作者 陈凌 王飞
出处 《计算机应用与软件》 CSCD 2011年第5期142-146,151,共6页 Computer Applications and Software
基金 国家自然科学基金(60673016 10704068) 符号计算与知识工程教育部重点实验室项目(421060071421)
关键词 蛋白质-DNA识别与结合位点预测 结构模型 生物信息学 Protein-DNA recognition and binding sites prediction Structural model Bioinformatics
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参考文献6

  • 1Chi Zhang,Song Liu,Qianqian Zhu,et al.A Knowledge-Based Energy Function for Protein-Ligand,Protein-Protein,and Protein-DNA Complexes[J].J.Med.Chem.2005,48:325-2335.
  • 2Shandar Ahmadl,Hidetoshi Kono,Marcos J,et al.ReadOut:structure-based calculation of direct and indirect readout energies and specificities for protein-DNA recognition[J].Nucleic Acids Res.2006,34.
  • 3Koudelka G B,Harrison S C,Ptashne M.Effect of non-contacted bases on the affinity of 434 operator for 434 repressor and Cro[J].Nature.1987,326:886-888.
  • 4Xu B,Yang Y,Liang H,et al.An all-atom knowledge-based energy function for protein-DNA threading,docking decoy discrimination,and prediction of transcription-factor binding profiles[J].Proteins.2009,76 (3):718-730.
  • 5Wang L,Yang M Q,Yang J Y.Prediction of DNA-binding residues from protein sequence information using random forests[J].BMC Genomics.2009,10(1):S1.
  • 6李婷婷,蒋博,汪小我,张学工.转录因子结合位点的计算分析方法[J].生物物理学报,2008,24(5):334-347. 被引量:8

二级参考文献73

  • 1Biemar F, Zinzen R, Ronshaugen M, Sementchenko V, Manak JR, Levine MS. Spatial regulation of microRNA gene expression in the Drosophila embryo. Proc Natl Acad Sci USA, 2005,102(44):15907-15911
  • 2Bulyk ML, Johnson PL, Church GM. Nucleotides of transcription factor binding sites exert interdependent effects on the binding affinities of transcription factors. Nucleic Acids Res, 2002,30(5):1255-1261
  • 3Man TK, Stormo GD. Non-independence of Mnt repressor-operator interaction determined by a new quantitative multiple fluorescence relative affinity (QuMFRA) assay. Nucleic Acids Res, 2001,29(12):2471-2478
  • 4Zhou Q, Liu JS. Modeling within-motif dependence for transcription factor binding site predictions. Bioinformatics, 2004,20(6) :909-916
  • 5Xing EP, Wu W, Jordan MI, Karp RM. Logos: a modular bayesian model for de novo motif detection. J Bioinform Comput Biol, 2004,2(1):127-154
  • 6Hong P, Liu XS, Zhou Q, Lu X, Liu JS, Wong WH. A boosting approach for motif modeling using ChiP-chip data. Bioinformatics, 2005,21(11):2636-2643
  • 7Schneider TD, Stephens RM. Sequence logos: a new way to display consensus sequences. Nucleic Acids Res, 1990,18(20): 6097-6100
  • 8Bussemaker H J, Li H, Siggia ED. Building a dictionary for genomes: identification of presumptive regulatory sites by statistical analysis. Proc Natl Acad Sci USA, 2000,97(18): 10096~10100
  • 9Sinha S, Tompa M. Discovery of novel transcription factor binding sites by statistical overrepresentation. Nucleic Acids Res, 2002,30(24):5549-5560
  • 10Sinha S, Tompa M. YMF: A program for discovery of novel transcription factor binding sites by statistical overrepresentation. Nucleic Acids R es, 2003,31(13):3586-3588

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  • 1WANG L J,BROWN S J.BindN:A web-based tool for efficient prediction of DNA and RNA binding sites in amino acid sequences[J].Nucleic Acids Research,2006,34(2):243-248.
  • 2PULLAN S T,CHANDRA G,BIBB M J,et al.Genome-wide analysis of the role of GlnR in Streptomyces venezuelae provides new insights into global nitrogen regulation in actinomycetes[J].BMC Genomics,2011,12:175-189.
  • 3CHEN P M,CHEN Y Y M,YU S L,et al.Role of GlnR in acid-mediated repression of genes encoding proteins involved in glutamine and glutamate metabolism in Streptococcus mutans[J].Applied and Environmental Microbiology,2010,76(8):2478-2486.
  • 4CASTELLEN P,REGO F G M,PORTUGAL M E G,et al.The Streptococcus mutans GlnR protein exhibits an increased affinity for the glnRA operon promoter when bound to GlnK[J].Brazilian Journal of Medical and Biological Research,2011,44 (12):1202-1208.
  • 5CHOO Y,KLUG A.Selection of DNA binding sites for zinc fingers using rationally randomized DNA reveals coded interactions[J].Proceeding of the National Academy of Science of USA,1994,91 (23):11168-11172.
  • 6LUSCOMBE N M,LASKOWSKI R A,THORNTON J M.Amino acid-base interactions:A three-dimensional analysis of protein-DNA interactions at an atomic level[J].Nucleic Acids Research,2001,29 (13):2860-2874.
  • 7王艳君,杨谦.一种快速获得基因密码子偏爱性改造的方法——SOE-PCR[J].中国生物工程杂志,2008,28(8):96-99. 被引量:7
  • 8蔡容华,李强,张建军,邢佩佩,施碧红.DNA-蛋白质相互作用研究的方法及其新进展[J].生物技术,2009,19(1):93-97. 被引量:5
  • 9刘子朋,章宏九,李雅晴,朱云蛟,胡健,方慧生.生物信息学方法在判断DNA结合蛋白质和预测结合位点中的应用[J].药学进展,2009,33(11):486-490. 被引量:2
  • 10高强,程勇,靳其兵.改进的生物DNA图谱识别技术研究[J].科学技术与工程,2016,16(3):17-21. 被引量:2

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