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使用溶剂暴露和距离相关介电函数对接蛋白质中的柔性配体。

Docking flexible ligands in proteins with a solvent exposure- and distance-dependent dielectric function.

机构信息

Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada.

出版信息

J Comput Aided Mol Des. 2010 Feb;24(2):91-105. doi: 10.1007/s10822-009-9317-9. Epub 2010 Jan 30.

DOI:10.1007/s10822-009-9317-9
PMID:20119653
Abstract

Physics-based force fields for ligand-protein docking usually determine electrostatic energy with distance-dependent dielectric (DDD) functions, which do not fully account for the dielectric permittivity variance between approximately 2 in the protein core and approximately 80 in bulk water. Here we propose an atom-atom solvent exposure- and distance-dependent dielectric (SEDDD) function, which accounts for both electrostatic and dehydration energy components. Docking was performed using the ZMM program, the AMBER force field, and precomputed libraries of ligand conformers. At the seeding stage, hundreds of thousands of positions and orientations of conformers from the libraries were sampled within the rigid protein. At the refinement stage, the ten lowest-energy structures from the seeding stage were Monte Carlo-minimized with the flexible ligand and flexible protein. A search was considered a success if the root mean square deviation (RMSD) of the ligand atoms in the apparent global minimum from the x-ray structure was <2 A. Calculations on an examining set of 60 ligand-protein complexes with different DDD functions and solvent-exclusion energy revealed outliers in most of which the ligand-binding site was located at the protein surface. Using a training set of 16 ligand-protein complexes, which did not overlap with the examining set, we parameterized the SEDDD function to minimize the RMSD of the apparent global minima from the x-ray structures. Recalculation of the examining set with the SEDDD function demonstrated a 20% increase in the success rate versus the best-performing DDD function.

摘要

基于物理的配体-蛋白质对接力场通常使用距离相关介电(DDD)函数来确定静电能,而该函数不能完全说明蛋白质核心中约 2 与大量水中约 80 之间的介电常数变化。在这里,我们提出了一种原子-原子溶剂暴露和距离相关介电(SEDDD)函数,它可以同时考虑静电能和去溶剂化能。对接使用 ZMM 程序、AMBER 力场和预先计算的配体构象库进行。在播种阶段,从库中采样数以十万计的构象的位置和取向在刚性蛋白质内。在精修阶段,从播种阶段的十个最低能量结构进行 Monte Carlo 最小化与柔性配体和柔性蛋白质。如果明显全局最小值中的配体原子的均方根偏差(RMSD)<2A,则认为搜索成功。使用不同 DDD 函数和溶剂排除能的 60 个配体-蛋白质复合物的检验集进行计算,大多数情况下,配体结合位点位于蛋白质表面。使用不与检验集重叠的 16 个配体-蛋白质复合物的训练集,我们参数化了 SEDDD 函数,以最小化明显全局最小值与 X 射线结构之间的 RMSD。使用 SEDDD 函数重新计算检验集,与表现最佳的 DDD 函数相比,成功率提高了 20%。

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