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两种介质中来自NH剩余偶极耦合的核间矢量和主链二面角的精确解及其在确定蛋白质主链结构的系统搜索算法中的应用。

Exact solutions for internuclear vectors and backbone dihedral angles from NH residual dipolar couplings in two media, and their application in a systematic search algorithm for determining protein backbone structure.

作者信息

Wang Lincong, Donald Bruce Randall

机构信息

Dartmouth Computer Science Department, Hanover, NH 03755, USA.

出版信息

J Biomol NMR. 2004 Jul;29(3):223-42. doi: 10.1023/B:JNMR.0000032552.69386.ea.

Abstract

We have derived a quartic equation for computing the direction of an internuclear vector from residual dipolar couplings (RDCs) measured in two aligning media, and two simple trigonometric equations for computing the backbone (phi,psi) angles from two backbone vectors in consecutive peptide planes. These equations make it possible to compute, exactly and in constant time, the backbone (phi,psi) angles for a residue from RDCs in two media on any single backbone vector type. Building upon these exact solutions we have designed a novel algorithm for determining a protein backbone substructure consisting of alpha-helices and beta-sheets. Our algorithm employs a systematic search technique to refine the conformation of both alpha-helices and beta-sheets and to determine their orientations using exclusively the angular restraints from RDCs. The algorithm computes the backbone substructure employing very sparse distance restraints between pairs of alpha-helices and beta-sheets refined by the systematic search. The algorithm has been demonstrated on the protein human ubiquitin using only backbone NH RDCs, plus twelve hydrogen bonds and four NOE distance restraints. Further, our results show that both the global orientations and the conformations of alpha-helices and beta-strands can be determined with high accuracy using only two RDCs per residue. The algorithm requires, as its input, backbone resonance assignments, the identification of alpha-helices and beta-sheets as well as sparse NOE distance and hydrogen bond restraints.

摘要

我们推导了一个四次方程,用于根据在两种取向介质中测量的剩余偶极耦合(RDC)计算核间向量的方向,还推导了两个简单的三角方程,用于根据连续肽平面中的两个主链向量计算主链(φ,ψ)角。这些方程使得能够在恒定时间内精确地根据两种介质中单个主链向量类型上的RDC计算残基的主链(φ,ψ)角。基于这些精确解,我们设计了一种新颖的算法来确定由α螺旋和β折叠组成的蛋白质主链亚结构。我们的算法采用系统搜索技术来优化α螺旋和β折叠的构象,并仅使用RDC的角度约束来确定它们的方向。该算法通过系统搜索优化的α螺旋和β折叠对之间非常稀疏的距离约束来计算主链亚结构。该算法已在仅使用主链NH RDC以及十二个氢键和四个NOE距离约束的人泛素蛋白上得到验证。此外,我们的结果表明,仅使用每个残基两个RDC就可以高精度地确定α螺旋和β链的全局取向和构象。该算法需要主链共振归属、α螺旋和β折叠的识别以及稀疏的NOE距离和氢键约束作为输入。

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