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Analysis of a systematic search-based algorithm for determining protein backbone structure from a minimum number of residual dipolar couplings

机译:分析基于系统搜索的算法,可从最少数量的残留偶极偶合数确定蛋白骨架结构

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We have developed an ab initio algorithm for determining a protein backbone structure using global orientational restraints on internuclear vectors derived from residual dipolar couplings (RDCs) measured in one or two different aligning media by solution nuclear magnetic resonance (NMR) spectroscopy. Specifically, the conformation and global orientations of individual secondary structure elements are computed, independently, by an exact solution, systematic search-based minimization algorithm using only 2 RDCs per residue. The systematic search is built upon a quartic equation for computing, exactly and in constant time, the directions of an internuclear vector from RDCs, and linear or quadratic equations for computing the sines and cosines of backbone dihedral (/spl phi/, /spl psi/) angles from two vectors in consecutive peptide planes. In contrast to heuristic search such as simulated annealing (SA) or Monte-Carlo (MC) used by other NMR structure determination algorithms, our minimization algorithm can be analyzed rigorously in terms of expected algorithmic complexity and the coordinate precision of the protein structure as a function of error in the input data. The algorithm has been successfully applied to compute the backbone structures of three proteins using real NMR data.
机译:我们开发了用于使用全局定义限制来确定蛋白质骨干结构的AB Initio算法,这些核心结构在通过溶液核磁共振(NMR)光谱中的一个或两个不同的对准介质中测量的残余偶极耦合(RDC)来确定衍生自残偶极耦合(RDC)。具体地,单个二级结构元素的构象和全局取向通过精确的解决方案,仅使用每个差别仅使用2个RDC的系统搜索的最小化算法来计算。系统搜索是基于计算,精确且恒定的时间的四分之一的方程,从RDCS的核心矢量的方向,以及用于计算骨干和骨干的阳台和余弦(/ SPL PHI /,/ SPL PSI的线性或二次方程/)连续肽平面中的两种载体的角度。与其他NMR结构确定算法使用的模拟退火(SA)或MONTE-CARLO(MC)相反,在预期算法复杂度和蛋白质结构的坐标精度方面,可以严格地分析我们的最小化算法。输入数据中的错误功能。该算法已成功应用于使用真实的NMR数据计算三种蛋白质的骨干结构。

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