Publication details
FastGrid -- The Accelerated AutoGrid Potential Maps Generation for Molecular Docking
| Authors | |
|---|---|
| Year of publication | 2009 |
| Type | Article in Proceedings |
| Conference | MEMICS 2009: Fifth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science |
| MU Faculty or unit | |
| Citation | |
| Field | Informatics |
| Keywords | molecular docking; autogrid; autodock; acceleration; GPU; high performance computing |
| Description | The AutoDock suite is widely used molecular docking software consisting of two main programs -- AutoGrid for precomputation of potential grid maps and AutoDock for docking into potential grid maps. In this paper, the acceleration of potential maps generation based on AutoGrid and its implementation called FastGrid is presented. The most computationally expensive algorithms are accelerated using GPU, the rest of algorithms run on CPU with asymptotically lower time complexity that has been obtained using more sophisticated data structures than in the original AutoGrid code. Moreover, the CPU implementation is parallelized to fully exploit computational power of machines that are equipped with more CPU cores than GPUs. Our implementation outperforms the original AutoGrid more than $400\times$ for large, but quite common molecules and sufficiently large grids. |
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