首页> 外文期刊>International Journal of Quantum Chemistry >Conformational Space Annealing by Parallel Computations: Extensive Conformational Search of Met-enkephalin and of the 20-Residue Membrane-Bound Portion of Melittin
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Conformational Space Annealing by Parallel Computations: Extensive Conformational Search of Met-enkephalin and of the 20-Residue Membrane-Bound Portion of Melittin

机译:并行计算的构象空间退火:Met-脑啡肽和Melittin的20个残基膜结合部分的广泛构象搜索

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摘要

A successful implementation of a parallel version of a conformational space annealing (CSA) method is presented. The CSA method, an optimization procedure for conformational energy calculations on polypeptides, searches the whole conformational space in its early stages and then narrows the search to smaller regions with low energy and distinct geometry. By selecting 20 seed conformations that are far from each other in the conformational space, the CSA method generates up to 400 conformations to be minimized independently, thereby allowing very efficient parallel computations to be carried out. When applied to the pentapeptide Met-enkephalin, the global minimum-energy conformation (GMEC) of the ECEPP/3 (Empirical Conformational Energy Program for Peptides) force field was found for all of 600 separate runs after about 35.5 s each, on average, of wall clock time, using 16 processors of an IBM SP2 supercomputer. The GMEC of the 20-residue membrane-bound portion of melittin was also found for all of 24 independent runs. The average wall clock time to find the GMEC of this 20-residue peptide, using 32 processors of an IBM SP2 supercomputer, was about 4.5 h per run.
机译:提出了构象空间退火(CSA)方法的并行版本的成功实现。 CSA方法是一种用于多肽构象能量计算的优化程序,它在早期搜索整个构象空间,然后将搜索范围缩小到具有低能量和独特几何结构的较小区域。通过选择在构象空间中彼此远离的20个种子构象,CSA方法最多生成400个构象以独立最小化,从而可以执行非常有效的并行计算。在将五肽Met-脑啡肽应用于五肽Met-脑啡肽后,平均大约35.5 s后,对于所有600次独立运行,发现了ECEPP / 3(肽的经验构象能量程序)力场的全局最小能量构象(GMEC),使用IBM SP2超级计算机的16个处理器的时钟时间。在所有24次独立运行中也发现了蜂毒素的20个残基膜结合部分的GMEC。使用IBM SP2超级计算机的32个处理器,发现这种20个残基的肽的GMEC的平均挂钟时间为每次运行约4.5小时。

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