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肽聚集的晶格模型:构象搜索算法的评估

Lattice models of peptide aggregation: evaluation of conformational search algorithms.

作者信息

Oakley Mark T, Garibaldi Jonathan M, Hirst Jonathan D

机构信息

School of Chemistry, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom.

出版信息

J Comput Chem. 2005 Nov 30;26(15):1638-46. doi: 10.1002/jcc.20306.

Abstract

We present a series of conformational search calculations on the aggregation of short peptide fragments that form fibrils similar to those seen in many protein mis-folding diseases. The proteins were represented by a face-centered cubic lattice model with the conformational energies calculated using the Miyazawa-Jernigan potential. The searches were performed using algorithms based on the Metropolis Monte Carlo method, including simulated annealing and replica exchange. We also present the results of searches using the tabu search method, an algorithm that has been used for many optimization problems, but has rarely been used in protein conformational searches. The replica exchange algorithm consistently found more stable structures then the other algorithms, and was particularly effective for the octamers and larger systems.

摘要

我们展示了一系列关于短肽片段聚集的构象搜索计算,这些短肽片段形成的纤维与许多蛋白质错误折叠疾病中所见的纤维相似。蛋白质由面心立方晶格模型表示,使用宫泽 - 杰尔尼根势计算构象能量。搜索使用基于 metropolis 蒙特卡罗方法的算法进行,包括模拟退火和副本交换。我们还展示了使用禁忌搜索方法的搜索结果,该算法已用于许多优化问题,但很少用于蛋白质构象搜索。副本交换算法始终比其他算法找到更稳定的结构,并且对八聚体和更大的系统特别有效。

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