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一种用于能量方程的新型参数化方案及其在计算蛋白质分子结构中的应用。

A novel parameterization scheme for energy equations and its use to calculate the structure of protein molecules.

作者信息

Snow M E

机构信息

University of Michigan Information Technology Division, Ann Arbor 48103-4943.

出版信息

Proteins. 1993 Feb;15(2):183-90. doi: 10.1002/prot.340150208.

Abstract

A novel scheme for the parameterization of a type of "potential energy" function for protein molecules is introduced. The function is parameterized based on the known conformations of previously determined protein structures and their sequence similarity to a molecule whose conformation is to be calculated. Once parameterized, minima of the potential energy function can be located using a version of simulated annealing which has been previously shown to locate global and near-global minima with the given functional form. As a test problem, the potential was parameterized based on the known structures of the rubredoxins from Desulfovibrio vulgaris, Desulfovibrio desulfuricans, and Clostridium pasteurianum, which vary from 45 to 54 amino acids in length, and the sequence alignments of these molecules with the rubredoxin sequence from Desulfovibrio gigas. Since the Desulfovibrio gigas rubredeoxin conformation has also been determined, it is possible to check the accuracy of the results. Ten simulated-annealing runs from random starting conformations were performed. Seven of the 10 resultant conformations have an all-C alpha rms deviation from the crystallographically determined conformation of less than 1.7 A. For five of the structures, the rms deviation is less than 0.8 A. Four of the structures have conformations which are virtually identical to each other except for the position of the carboxy-terminal residue. This is also the conformation which is achieved if the determined crystal structure is minimized with the same potential. The all-C alpha rms difference between the crystal and minimized crystal structures is 0.6 A.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

介绍了一种用于蛋白质分子“势能”函数参数化的新方案。该函数基于先前确定的蛋白质结构的已知构象及其与要计算构象的分子的序列相似性进行参数化。一旦参数化,就可以使用一种模拟退火版本来定位势能函数的最小值,该模拟退火版本先前已被证明能够以给定的函数形式定位全局和接近全局的最小值。作为一个测试问题,基于来自普通脱硫弧菌、脱硫脱硫弧菌和巴氏梭菌的红氧还蛋白的已知结构对势能进行参数化,这些红氧还蛋白的长度在45至54个氨基酸之间,并且将这些分子与巨大脱硫弧菌的红氧还蛋白序列进行序列比对。由于巨大脱硫弧菌红氧还蛋白的构象也已确定,因此可以检查结果的准确性。从随机起始构象进行了10次模拟退火运行。10个所得构象中的7个与晶体学确定的构象的全Cα均方根偏差小于1.7 Å。对于其中5个结构,均方根偏差小于0.8 Å。其中4个结构的构象除了羧基末端残基的位置外几乎彼此相同。这也是如果用相同的势能对确定的晶体结构进行最小化时所得到的构象。晶体结构与最小化晶体结构之间的全Cα均方根差异为0.6 Å。(摘要截短于250字)

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