Wang Bing, Westerhoff Lance M, Merz Kenneth M
Department of Chemistry, Quantum Theory Project, University of Florida, P.O. Box 118435 Gainesville, Florida 32611-8435, USA.
J Med Chem. 2007 Oct 18;50(21):5128-34. doi: 10.1021/jm070484a. Epub 2007 Sep 15.
We have generated docking poses for the FKBP-GPI complex using eight docking programs, and compared their scoring functions with scoring based on NMR chemical shift perturbations (NMRScore). Because the chemical shift perturbation (CSP) is exquisitely sensitive on the orientation of the ligand inside the binding pocket, NMRScore offers an accurate and straightforward approach to score different poses. All scoring functions were inspected by their abilities to highly rank the native-like structures and separate them from decoy poses generated for a protein-ligand complex. The overall performance of NMRScore is much better than that of energy-based scoring functions associated with docking programs in both aspects. In summary, we find that the combination of docking programs with NMRScore results in an approach that can robustly determine the binding site structure for a protein-ligand complex, thereby providing a new tool facilitating the structure-based drug discovery process.
我们使用八个对接程序生成了FKBP-GPI复合物的对接构象,并将它们的评分函数与基于核磁共振化学位移扰动(NMRScore)的评分进行了比较。由于化学位移扰动(CSP)对配体在结合口袋内的取向极为敏感,NMRScore提供了一种准确且直接的方法来对不同构象进行评分。所有评分函数都通过其对天然样结构进行高排名并将其与为蛋白质-配体复合物生成的诱饵构象区分开来的能力进行了检验。在这两个方面,NMRScore的整体性能都远优于与对接程序相关的基于能量的评分函数。总之,我们发现对接程序与NMRScore的结合产生了一种能够稳健地确定蛋白质-配体复合物结合位点结构的方法,从而为基于结构的药物发现过程提供了一种新工具。