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关于特纳能量模型,计算RNA饱和二级结构的配分函数并进行采样。

Computing the partition function and sampling for saturated secondary structures of RNA, with respect to the Turner energy model.

作者信息

Waldispühl J, Clote P

机构信息

Department of Biology, Boston College, Chestnut Hill, Massachusetts, USA.

出版信息

J Comput Biol. 2007 Mar;14(2):190-215. doi: 10.1089/cmb.2006.0012.

Abstract

An RNA secondary structure is saturated if no base pairs can be added without violating the definition of secondary structure. Here we describe a new algorithm, RNAsat, which for a given RNA sequence a, an integral temperature 0 <or= T <or= 100 in degrees Celsius, and for all integers k, computes the Boltzmann partition function Z(k)(T)(a) = SigmaSepsilonSAT(k)(a) exp(-E(S)/RT), where the sum is over all saturated secondary structures of a which have exactly k base pairs, R is the universal gas constant and E(S) denotes the free energy with respect to the Turner nearest neighbor energy model. By dynamic programming, we compute Z(k)(T)simultaneously for all values of k in time O(n(5)) and space O(n(3)).Additionally, RNAsat computes the partition function Q(k)(T)(a) = SigmaSepsilonS(k)(a) exp(-E(S)/RT), where the sum is over all secondary structures of a which have k base pairs; the latter computation is performed simultaneously for all values of k in O(n(4)) time and O(n(3)) space. Lastly, using the partition function Z(k)(T) [resp. Q(k)(T)] with stochastic backtracking, RNAsat rigorously samples the collection of saturated secondary structures [resp. secondary structures] having k base pairs; for Q(k)(T) this provides a parametrized form of Sfold sampling (Ding and Lawrence, 2003). Using RNAsat, (i) we compute the ensemble free energy for saturated secondary structures having k base pairs, (ii) show cooperativity of the Turner model, (iii) demonstrate a temperature-dependent phase transition, (iv) illustrate the predictive advantage of RNAsat for precursor microRNA cel-mir-72 of C. elegans and for the pseudoknot PKB 00152 of Pseudobase (van Batenburg et al., 2001), (v) illustrate the RNA shapes (Giegerich et al., 2004) of sampled secondary structures [resp. saturated structures] having exactly k base pairs. A web server for RNAsat is under construction at bioinformatics.bc.edu/clotelab/RNAsat/.

摘要

如果在不违反二级结构定义的情况下无法添加碱基对,则RNA二级结构是饱和的。在此,我们描述一种新算法RNAsat,对于给定的RNA序列a、介于0(含)到100(含)摄氏度之间的整数温度T以及所有整数k,计算玻尔兹曼配分函数Z(k)(T)(a) = SigmaSepsilonSAT(k)(a) exp(-E(S)/RT),其中求和是对a的所有恰好具有k个碱基对的饱和二级结构进行的,R是通用气体常数,E(S)表示关于特纳最近邻能量模型的自由能。通过动态规划,我们在时间O(n(5))和空间O(n(3))内同时为k的所有值计算Z(k)(T)。此外,RNAsat计算配分函数Q(k)(T)(a) = SigmaSepsilonS(k)(a) exp(-E(S)/RT),其中求和是对a的所有具有k个碱基对的二级结构进行的;后一种计算在O(n(4))时间和O(n(3))空间内同时针对k的所有值进行。最后,使用配分函数Z(k)(T) [相应地,Q(k)(T)]并通过随机回溯,RNAsat严格采样具有k个碱基对的饱和二级结构 [相应地,二级结构] 的集合;对于Q(k)(T),这提供了Sfold采样的参数化形式(丁和劳伦斯,2003年)。使用RNAsat,(i) 我们计算具有k个碱基对的饱和二级结构的系综自由能,(ii) 展示特纳模型的协同性,(iii) 证明温度依赖性相变,(iv) 说明RNAsat对秀丽隐杆线虫前体微小RNA cel - mir - 72以及对Pseudobase的假结PKB 00152(范·巴滕堡等人,2001年)的预测优势,(v) 说明恰好具有k个碱基对的采样二级结构 [相应地,饱和结构] 的RNA形状(吉格里希等人,2004年)。一个用于RNAsat的网络服务器正在bioinformatics.bc.edu/clotelab/RNAsat/上构建。

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