Fukunishi Yoshifumi, Nakamura Haruki
Biological Information Research Center, National Institute of Advanced Industrial Science and Technology (AIST), 2-41-6 Aomi, Koto-ku, Tokyo 135-0064, Japan.
J Mol Graph Model. 2008 Feb;26(6):1030-3. doi: 10.1016/j.jmgm.2007.07.001. Epub 2007 Jul 12.
We developed a new scoring method that selects a protein-ligand complex structure with higher geometrical accuracy than the top-scoring complex structure, using the structural information of known protein-ligand complexes. To apply this method, one or more protein-ligand complex structures must be known for the target protein. A number of predicted structures were generated by the protein-compound docking program for a new ligand, and one of these structures, which showed the maximum overlap with the ligand coordinates of the known protein-ligand complex, was selected as the most probable complex structure.
我们开发了一种新的评分方法,该方法利用已知蛋白质-配体复合物的结构信息,选择一种几何精度高于得分最高的复合物结构的蛋白质-配体复合物结构。要应用此方法,必须知道目标蛋白质的一个或多个蛋白质-配体复合物结构。通过蛋白质-化合物对接程序为一种新配体生成了许多预测结构,其中与已知蛋白质-配体复合物的配体坐标显示出最大重叠的结构之一被选为最可能的复合物结构。