期刊文献+

蛋白质-RNA相互作用界面预测与设计

Protein-RNA Interaction Interface Prediction and Design
下载PDF
导出
摘要 蛋白质-RNA之间的相互作用是蛋白质在细胞里面行使功能的重要方式之一.结构生物学家利用实验手段可以得到蛋白质-RNA复合物的三维结构,通过原子水平的晶体结构来解释蛋白质与RNA的识别过程.但实验取得蛋白质-RNA的复合物结构非常困难,耗钱、耗时,同时受限于其相互作用强度.因而利用理论的方法对蛋白质-RNA相互作用界面进行预测与设计在生物医学研究中十分重要.本文主要综述了近期蛋白质-RNA相互作用界面预测与设计方面的进展,包括以下几个方面:(1)蛋白质-RNA分子对接算法以及对接前后存在的构象变化的处理;(2)蛋白质-RNA识别机制的研究;(3)基于蛋白质-RNA相互作用界面的分子设计.蛋白质-RNA分子对接算法逐步完善将有助于我们对大量未知功能的蛋白质与RNA进行功能注释,而基于生物大分子相互作用界面的分子设计将在药物设计领域中有广阔的应用前景. RNA-protein interactions play key roles in many biological processes.The three dimensional (3D) structure of protein-RNA complexes can be determined experimentally by structural biologists.The recognition between protein and RNA can be understood from the 3D atomic structure.However,the structure determination of protein-RNA complexes by experimental methods is often difficult and costly,and limited to the binding strength.Thus,the prediction and design of protein-RNA complex structures is important in biological medical research.In this review,we will discuss the recent progress in protein-RNA interface prediction and design,which includes the following aspects:(1) protein-RNA docking and the conformational change on binding;(2) the recognition mechanism of protein-RNA binding;(3) the molecular design based on the protein-RNA interface.Improvement of the protein-RNA docking algorithm will help us annotate a large number of proteins and RNA with unknown function,and molecular design based on macromolecular interactions will be useful in drug design.
出处 《物理化学学报》 SCIE CAS CSCD 北大核心 2012年第10期2390-2400,共11页 Acta Physico-Chimica Sinica
基金 国家自然科学基金(31100522) 国家高技术研究发展计划(2012AA020402) 高等学校博士学科点专项科研基金(20110142120038)资助~~
关键词 蛋白质-RNA相互作用 分子对接 界面设计 复合物结构预测 Protein-RNA interaction Molecular docking Interface design Complex structure prediction
  • 相关文献

参考文献9

二级参考文献457

  • 1LIN Wei, SUN Fei and RAO Zihe(Laboratory of Structural Biology, MOE Laboratory of Protein Science, Tsinghua University, Beijing 100084, China).Tri-residue contact potential: a new knowledge-based energetic method[J].Progress in Natural Science:Materials International,2002,12(11):826-840. 被引量:1
  • 2Mo-Jie Duan Yan-Hong Zhou.A Contact Energy Function Considering Residue Hydrophobic Environment and Its Application in Protein Fold Recognition[J].Genomics, Proteomics & Bioinformatics,2005,3(4):218-224. 被引量:1
  • 3Badger J H, Olsen G J. CRITICA: coding region identification tool invoking comparative analysis. Mol Biol Evol, 1999, 16:512--524.
  • 4Frith M C, Bailey T L, Kasukawa T, et al. Discrimination of non-protein-coding transcripts from protein-coding mRNA. RNA Biol, 2006, 3: 40---48.
  • 5LiuJ, Gough J, Rost B. Distinguishing protein-coding from non-coding RNAs through support vector machines. PLoS Genet, 2006, 2:29.
  • 6Kong L, Zhang Y, Ye Z, et al. CPC: assess the protein-coding potential of transcripts using sequence features and support vector machine. Nucleic Acids Res, 2007, 35:345--349.
  • 7Wang X, Zhang J, Li F, et al. MicroRNA identification based on sequence and structure alignment. Bioinformatics, 2005, 21:3610--3614.
  • 8Jiang P, Wu H, Wang W, et al. MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features. Nucleic Acids Res, 2007, 35:339--344.
  • 9Huang T, Fan B, Rothschild M F, et al. MiRFinder: an improved approach and software implementation for genome-wide fast microRNA precursor scans. BMC Bioinformatics, 2007, 8:341.
  • 10Lowe T M, Eddy S R. A computational screen for methylation guide snoRNAs in yeast. Science, 1999, 283:1168--1171.

共引文献46

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部