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使用遗传算法折叠小蛋白质的主链。

Folding the main chain of small proteins with the genetic algorithm.

作者信息

Dandekar T, Argos P

机构信息

European Molecular Biology Laboratory, Heidelberg, Germany.

出版信息

J Mol Biol. 1994 Feb 25;236(3):844-61. doi: 10.1006/jmbi.1994.1193.

Abstract

Grid-free protein folding simulations were effected using the genetic algorithm, a backbone representation and standard dihedral angular conformations. The topological folding of idealized four-helix bundles was investigated in detail to differentiate among the important protein folding forces used as fitness criteria. Hydrophobic interactions were the most significant while local forces and hydrogen bonds were far less effective in promoting folding. Stable secondary structural regions were also important as nucleating centers. Using the fitness parameters optimized in idealized simulations together with standard secondary structure predictions derived from the amino acid sequence alone, the proper main-chain folding of the four-helix bundle proteins cytochrome b562, cytochrome c' and hemerythrin was achieved. In addition the backbone topology as predicted by the genetic algorithm for crambin, a mixed helix/strand protein with known structure, is presented and discussed.

摘要

使用遗传算法、主链表示法和标准二面角构象进行了无网格蛋白质折叠模拟。详细研究了理想化四螺旋束的拓扑折叠,以区分用作适应度标准的重要蛋白质折叠力。疏水相互作用最为显著,而局部作用力和氢键在促进折叠方面的效果则要差得多。稳定的二级结构区域作为成核中心也很重要。利用理想化模拟中优化的适应度参数以及仅从氨基酸序列推导的标准二级结构预测,实现了四螺旋束蛋白细胞色素b562、细胞色素c'和蚯蚓血红蛋白的正确主链折叠。此外,还展示并讨论了遗传算法预测的具有已知结构的混合螺旋/链蛋白胰凝乳蛋白酶原的主链拓扑结构。

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