High performance computing in structural determination by electron cryomicroscopy

被引:41
作者
Fernandez, J. J. [1 ,2 ]
机构
[1] Univ Almeria, Dept Comp Architecture, Almeria 04120, Spain
[2] CSIC, Ctr Nacl Biotecnol, E-28049 Madrid, Spain
关键词
high performance computing; parallel computing; electron cryomicroscopy; single particle electron cryomicroscopy; electron cryotomography; electron tomography;
D O I
10.1016/j.jsb.2008.07.005
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Computational advances have significantly contributed to the current role of electron cryomicroscopy (cryoEM) in structural biology. The needs for computational power are constantly growing with the increasing complexity of algorithms and the amount of data needed to push the resolution limits. High performance computing (HPC) is becoming paramount in cryoEM to cope with those computational needs. Since the nineties, different HPC strategies have been proposed for some specific problems in cryoEM and, in fact, some of them are already available in common software packages. Nevertheless, the literature is scattered in the areas of computer science and structural biology. In this communication, the HPC approaches devised for the computation-intensive tasks in cryoEM (single particles and tomography) are retrospectively reviewed and the future trends are discussed. Moreover, the HPC capabilities available in the most common cryoEM packages are surveyed, as an evidence of the importance of HPC in addressing the future challenges. (c) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码:1 / 6
页数:6
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