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利用核磁共振取向约束进行蛋白质结构测定的数学方面

Mathematical aspects of protein structure determination with NMR orientational restraints.

作者信息

Quine J R, Cross Timothy A, Chapman Michael S, Bertram Richard

机构信息

Department of Mathematics, Florida State University, Tallahassee, FL 32306, USA.

出版信息

Bull Math Biol. 2004 Nov;66(6):1705-30. doi: 10.1016/j.bulm.2004.03.006.

Abstract

The field of structural biology is becoming increasingly important as new technological developments facilitate the collection of data on the atomic structures of proteins and nucleic acids. The solid-state NMR method is a relatively new biophysical technique that holds particular promise for determining the structures of peptides and proteins that are located within the cell membrane. This method provides information on the orientation of the peptide planes relative to an external magnetic field. In this article, we discuss some of the mathematical methods and tools that are useful in deriving the atomic structure from these orientational data. We first discuss how the data are viewed as tensors, and how these tensors can be used to construct an initial atomic model, assuming ideal stereochemistry. We then discuss methods for refining the models using global optimization, with stereochemistry constraints treated as penalty functions. These two processes, initial model building followed by refinement, are the two crucial steps between data collection and the final atomic model.

摘要

随着新技术的发展促进了蛋白质和核酸原子结构数据的收集,结构生物学领域正变得越来越重要。固态核磁共振方法是一种相对较新的生物物理技术,在确定位于细胞膜内的肽和蛋白质结构方面具有特殊的前景。该方法提供了肽平面相对于外部磁场方向的信息。在本文中,我们讨论了一些有助于从这些方向数据推导原子结构的数学方法和工具。我们首先讨论如何将数据视为张量,以及如何在假设理想立体化学的情况下,利用这些张量构建初始原子模型。然后我们讨论使用全局优化来优化模型的方法,将立体化学约束视为惩罚函数。这两个过程,即初始模型构建和随后的优化,是数据收集和最终原子模型之间的两个关键步骤。

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