Carson M
Center for Macromolecular Crystallography, University of Alabama at Birmingham 35294, USA.
J Comput Aided Mol Des. 1996 Aug;10(4):273-83. doi: 10.1007/BF00124497.
The wavelet method offers possibilities for display, editing, and topological comparison of proteins at a user-specified level of detail. Wavelets are a mathematical tool that first found application in signal processing. The multiresolution analysis of a signal via wavelets provides a hierarchical series of "best' lower-resolution approximations. B-spline ribbons model the protein fold, with one control point per residue. Wavelet analysis sets limits on the information required to define the winding of the backbone through space, suggesting a recognizable fold is generated from a number of points equal to 1/4 or less the number of residues. Wavelets applied to surfaces and volumes show promise in structure-based drug design.
小波方法为在用户指定的细节级别上显示、编辑和拓扑比较蛋白质提供了可能性。小波是一种数学工具,最初应用于信号处理。通过小波对信号进行多分辨率分析可提供一系列分层的“最佳”低分辨率近似值。B样条带对蛋白质折叠进行建模,每个残基有一个控制点。小波分析对定义主链在空间中的缠绕所需的信息设置了限制,这表明从等于或少于残基数1/4的若干点可以生成可识别的折叠。应用于表面和体积的小波在基于结构的药物设计中显示出前景。