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基于图形处理器的超快 FFT 蛋白质对接。

Ultra-fast FFT protein docking on graphics processors.

机构信息

INRIA Nancy-Grand Est, LORIA, 615 Rue du Jardin Botanique, 54506 Vandoeuvre-lès-Nancy, France.

出版信息

Bioinformatics. 2010 Oct 1;26(19):2398-405. doi: 10.1093/bioinformatics/btq444. Epub 2010 Aug 4.

Abstract

MOTIVATION

Modelling protein-protein interactions (PPIs) is an increasingly important aspect of structural bioinformatics. However, predicting PPIs using in silico docking techniques is computationally very expensive. Developing very fast protein docking tools will be useful for studying large-scale PPI networks, and could contribute to the rational design of new drugs.

RESULTS

The Hex spherical polar Fourier protein docking algorithm has been implemented on Nvidia graphics processor units (GPUs). On a GTX 285 GPU, an exhaustive and densely sampled 6D docking search can be calculated in just 15 s using multiple 1D fast Fourier transforms (FFTs). This represents a 45-fold speed-up over the corresponding calculation on a single CPU, being at least two orders of magnitude times faster than a similar CPU calculation using ZDOCK 3.0.1, and estimated to be at least three orders of magnitude faster than the GPU-accelerated version of PIPER on comparable hardware. Hence, for the first time, exhaustive FFT-based protein docking calculations may now be performed in a matter of seconds on a contemporary GPU. Three-dimensional Hex FFT correlations are also accelerated by the GPU, but the speed-up factor of only 2.5 is much less than that obtained with 1D FFTs. Thus, the Hex algorithm appears to be especially well suited to exploit GPUs compared to conventional 3D FFT docking approaches.

AVAILABILITY

http://hex.loria.fr/ and http://hexserver.loria.fr/.

摘要

动机

蛋白质-蛋白质相互作用(PPIs)的建模是结构生物信息学中越来越重要的方面。然而,使用计算机对接技术预测 PPIs 在计算上非常昂贵。开发非常快速的蛋白质对接工具将有助于研究大规模的 PPI 网络,并有助于新药物的合理设计。

结果

已经在 Nvidia 图形处理器单元(GPU)上实现了 Hex 球形极坐标傅里叶蛋白对接算法。在 GTX 285 GPU 上,使用多个 1D 快速傅里叶变换(FFT)可以在短短 15 秒内计算出详尽的和密集采样的 6D 对接搜索。与在单个 CPU 上的相应计算相比,这代表了 45 倍的速度提升,至少比使用 ZDOCK 3.0.1 的类似 CPU 计算快两个数量级,估计比在可比硬件上的 GPU 加速版 PIPER 快三个数量级。因此,现在首次可以在当代 GPU 上在几秒钟内完成基于 FFT 的详尽蛋白质对接计算。GPU 还加速了三维 Hex FFT 相关,但仅 2.5 的加速因子远小于 1D FFT 的加速因子。因此,与传统的 3D FFT 对接方法相比,Hex 算法似乎特别适合利用 GPU。

可用性

http://hex.loria.fr/http://hexserver.loria.fr/。

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