Center for Bioinformatics, University of Kansas, Lawrence, Kansas, United States of America.
PLoS One. 2013 Aug 16;8(8):e70661. doi: 10.1371/journal.pone.0070661. eCollection 2013.
Docking Approach using Ray Casting (DARC) is structure-based computational method for carrying out virtual screening by docking small-molecules into protein surface pockets. In a complementary study we find that DARC can be used to identify known inhibitors from large sets of decoy compounds, and can identify new compounds that are active in biochemical assays. Here, we describe our adaptation of DARC for use on Graphics Processing Units (GPUs), leading to a speedup of approximately 27-fold in typical-use cases over the corresponding calculations carried out using a CPU alone. This dramatic speedup of DARC will enable screening larger compound libraries, screening with more conformations of each compound, and including multiple receptor conformations when screening. We anticipate that all three of these enhanced approaches, which now become tractable, will lead to improved screening results.
基于射线投射的对接方法(DARC)是一种基于结构的计算方法,可通过将小分子对接至蛋白质表面口袋来进行虚拟筛选。在一项补充研究中,我们发现 DARC 可用于从大量诱饵化合物中识别已知抑制剂,并能识别在生化测定中具有活性的新化合物。在这里,我们描述了我们对 DARC 的改编,使其可用于图形处理单元(GPU),与仅使用 CPU 进行的相应计算相比,在典型情况下的速度提高了约 27 倍。DARC 的这种显著加速将使筛选更大的化合物库、对每个化合物的更多构象进行筛选以及在筛选时包含多个受体构象成为可能。我们预计,这三种方法的增强版本现在都变得可行,将导致筛选结果的改善。