Good Andrew C
Bristol-Myers Squibb, PO Box 5100, Wallingford, CT 06492, USA.
J Mol Graph Model. 2007 Oct;26(3):656-66. doi: 10.1016/j.jmgm.2007.03.016. Epub 2007 Apr 4.
With readily available CPU power and copious disk storage, it is now possible to undertake rapid comparison of 3D properties derived from explicit ligand overlay experiments. With this in mind, shape software tools originally devised in the 1990s are revisited, modified and applied to the problem of ligand database shape comparison. The utility of Connolly surface data is highlighted using the program MAKESITE, which leverages surface normal data to a create ligand shape cast. This cast is applied directly within DOCK, allowing the program to be used unmodified as a shape searching tool. In addition, DOCK has undergone multiple modifications to create a dedicated ligand shape comparison tool KIN. Scoring has been altered to incorporate the original incarnation of Gaussian function derived shape description based on STO-3G atomic electron density. In addition, a tabu-like search refinement has been added to increase search speed by removing redundant starting orientations produced during clique matching. The ability to use exclusion regions, again based on Gaussian shape overlap, has also been integrated into the scoring function. The use of both DOCK with MAKESITE and KIN in database screening mode is illustrated using a published ligand shape virtual screening template. The advantages of using a clique-driven search paradigm are highlighted, including shape optimization within a pharmacophore constrained framework, and easy incorporation of additional scoring function modifications. The potential for further development of such methods is also discussed.
随着CPU计算能力的普及和磁盘存储容量的增大,现在可以对源自明确配体叠加实验的三维特性进行快速比较。考虑到这一点,我们重新审视、修改了20世纪90年代最初设计的形状软件工具,并将其应用于配体数据库形状比较问题。使用MAKESITE程序突出了康诺利表面数据的实用性,该程序利用表面法线数据创建配体形状铸件。此铸件直接应用于DOCK中,使该程序无需修改即可用作形状搜索工具。此外,DOCK经过多次修改,创建了一个专用的配体形状比较工具KIN。评分方式已更改,纳入了基于STO-3G原子电子密度的高斯函数派生形状描述的原始形式。此外,添加了类似禁忌搜索的优化方法,通过去除团匹配过程中产生的冗余起始方向来提高搜索速度。基于高斯形状重叠的排除区域的使用也已集成到评分函数中。使用已发表的配体形状虚拟筛选模板说明了在数据库筛选模式下使用结合MAKESITE的DOCK和KIN的情况。突出了使用团驱动搜索范式的优点,包括在药效团约束框架内进行形状优化,以及易于纳入额外的评分函数修改。还讨论了此类方法进一步发展的潜力。