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使用STD-NMR强度在可逆形成弱复合物的过程中对蛋白质结合口袋内结合配体构象进行CORCEMA优化。

CORCEMA refinement of the bound ligand conformation within the protein binding pocket in reversibly forming weak complexes using STD-NMR intensities.

作者信息

Jayalakshmi V, Rama Krishna N

机构信息

Department of Biochemistry and Molecular Genetics and the NMR Core Facility, Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL 35294-2041, USA.

出版信息

J Magn Reson. 2004 May;168(1):36-45. doi: 10.1016/j.jmr.2004.01.017.

Abstract

We describe an intensity-restrained optimization procedure for refining approximate structures of ligands within the protein binding pockets using STD-NMR intensity data on reversibly forming weak complexes. In this approach, the global minimum for the bound-ligand conformation is obtained by a hybrid structure refinement method involving CORCEMA calculation of intensities and simulated annealing optimization of torsion angles of the bound ligand using STD-NMR intensities as experimental constraints and the NOE R-factor as the pseudo-energy function to be minimized. This method is illustrated using simulated STD data sets for typical carbohydrate and peptide ligands. Our procedure also allows for the optimization of side chain torsion angles of protein residues within the binding pocket. This procedure is useful in refining and improving initial models based on crystallography or computer docking or other algorithms to generate models for the bound ligand (e.g., a lead compound) within the protein binding pocket compatible with solution STD-NMR data. This method may facilitate structure-based drug design efforts.

摘要

我们描述了一种强度受限的优化程序,用于利用可逆形成弱复合物的STD-NMR强度数据,在蛋白质结合口袋内优化配体的近似结构。在这种方法中,通过一种混合结构优化方法获得结合配体构象的全局最小值,该方法包括基于STD-NMR强度作为实验约束,利用CORCEMA计算强度,并使用NOE R因子作为要最小化的伪能量函数,对结合配体的扭转角进行模拟退火优化。使用典型碳水化合物和肽配体的模拟STD数据集说明了该方法。我们的程序还允许对结合口袋内蛋白质残基的侧链扭转角进行优化。该程序有助于基于晶体学、计算机对接或其他算法对初始模型进行优化和改进,以生成与溶液STD-NMR数据兼容的蛋白质结合口袋内结合配体(如先导化合物)的模型。该方法可能有助于基于结构的药物设计工作。

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