基于系统搜索的最小偶极偶联确定蛋白质主链结构的算法分析。

Lincong Wang, Bruce Randall Donald
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引用次数: 0

摘要

我们开发了一种从头算算法,通过溶液核磁共振(NMR)波谱法在一种或两种不同的对准介质中测量残余偶极耦合(rdc),利用核间矢量的全局取向约束来确定蛋白质骨架结构[14,15]。具体来说,通过精确解、基于系统搜索的最小化算法,每个残差仅使用2个rdc,独立计算单个二级结构元素的构象和全局取向。系统搜索建立在一个四次方程上,用于精确地和在恒定时间内计算来自rdc的核间矢量的方向,以及用于计算连续肽平面中两个矢量的主二面体(phi, psi)角的正弦和余弦的线性或二次方程。与其他核磁共振结构确定算法使用的启发式搜索(如模拟退火(SA)或蒙特卡罗(MC))相比,我们的最小化算法可以根据预期算法复杂性和蛋白质结构的坐标精度作为输入数据误差的函数进行严格分析。该算法已成功应用于三种蛋白质的核磁共振数据的主链结构计算。
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Analysis of a systematic search-based algorithm for determining protein backbone structure from a minimum number of residual dipolar couplings.

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 [14, 15]. 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 (phi, 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.

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