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通过模拟退火对蛋白质环进行建模。

Modeling of protein loops by simulated annealing.

作者信息

Collura V, Higo J, Garnier J

机构信息

Unité d'Ingénierie des Protéines, Biotechnologies, INRA, Jouy en Josas, France.

出版信息

Protein Sci. 1993 Sep;2(9):1502-10. doi: 10.1002/pro.5560020915.

DOI:10.1002/pro.5560020915
PMID:8401234
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2142460/
Abstract

A method is presented to model loops of protein to be used in homology modeling of proteins. This method employs the ESAP program of Higo et al. (Higo, J., Collura, V., & Garnier, J., 1992, Biopolymers 32, 33-43) and is based on a fast Monte Carlo simulation and a simulated annealing algorithm. The method is tested on different loops or peptide segments from immunoglobulin, bovine pancreatic trypsin inhibitor, and bovine trypsin. The predicted structure is obtained from the ensemble average of the coordinates of the Monte Carlo simulation at 300 K, which exhibits the lowest internal energy. The starting conformation of the loop prior to modeling is chosen to be completely extended, and a closing harmonic potential is applied to N, CA, C, and O atoms of the terminal residues. A rigid geometry potential of Robson and Platt (1986, J. Mol. Biol. 188, 259-281) with a united atom representation is used. This we demonstrate to yield a loop structure with good hydrogen bonding and torsion angles in the allowed regions of the Ramachandran map. The average accuracy of the modeling evaluated on the eight modeled loops is 1 A root mean square deviation (rmsd) for the backbone atoms and 2.3 A rmsd for all heavy atoms.

摘要

本文提出了一种用于蛋白质同源建模的蛋白质环建模方法。该方法采用了Higo等人的ESAP程序(Higo, J., Collura, V., & Garnier, J., 1992, Biopolymers 32, 33 - 43),基于快速蒙特卡罗模拟和模拟退火算法。该方法在免疫球蛋白、牛胰蛋白酶抑制剂和牛胰蛋白酶的不同环或肽段上进行了测试。预测结构是通过在300 K下蒙特卡罗模拟坐标的系综平均得到的,其具有最低的内能。建模前环的起始构象选择为完全伸展,并对末端残基的N、CA、C和O原子施加封闭的谐势。使用了具有联合原子表示的Robson和Platt(1986, J. Mol. Biol. 188, 259 - 281)的刚性几何势。我们证明这会产生在拉氏图允许区域内具有良好氢键和扭转角的环结构。对八个建模环评估的建模平均准确度为:主链原子的均方根偏差(rmsd)为1 Å,所有重原子的rmsd为2.3 Å。

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本文引用的文献

1
Optimization by simulated annealing.模拟退火优化。
Science. 1983 May 13;220(4598):671-80. doi: 10.1126/science.220.4598.671.
2
Efficient Monte Carlo methods for the computer simulation of biological molecules.用于生物分子计算机模拟的高效蒙特卡罗方法。
Phys Rev A. 1992 Jun 15;45(12):8894-8901. doi: 10.1103/physreva.45.8894.
3
An automated method for modeling proteins on known templates using distance geometry.一种使用距离几何在已知模板上对蛋白质进行建模的自动化方法。
Protein Sci. 1993 Feb;2(2):277-89. doi: 10.1002/pro.5560020216.
4
Simulation methods for protein structure fluctuations.蛋白质结构波动的模拟方法。
Biopolymers. 1980 May;19(5):1001-16. doi: 10.1002/bip.1980.360190506.
5
Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features.蛋白质二级结构词典:氢键和几何特征的模式识别
Biopolymers. 1983 Dec;22(12):2577-637. doi: 10.1002/bip.360221211.
6
The relation between the divergence of sequence and structure in proteins.蛋白质中序列与结构的差异关系。
EMBO J. 1986 Apr;5(4):823-6. doi: 10.1002/j.1460-2075.1986.tb04288.x.
7
Canonical structures for the hypervariable regions of immunoglobulins.免疫球蛋白高变区的典型结构。
J Mol Biol. 1987 Aug 20;196(4):901-17. doi: 10.1016/0022-2836(87)90412-8.
8
Knowledge based modelling of homologous proteins, Part I: Three-dimensional frameworks derived from the simultaneous superposition of multiple structures.同源蛋白质的基于知识的建模,第一部分:源自多个结构同时叠加的三维框架。
Protein Eng. 1987 Oct-Nov;1(5):377-84. doi: 10.1093/protein/1.5.377.
9
Predicting antibody hypervariable loop conformations. II: Minimization and molecular dynamics studies of MCPC603 from many randomly generated loop conformations.预测抗体高变环构象。II:对来自许多随机生成环构象的MCPC603进行最小化和分子动力学研究。
Proteins. 1986 Dec;1(4):342-62. doi: 10.1002/prot.340010408.
10
Predicting antibody hypervariable loop conformation. I. Ensembles of random conformations for ringlike structures.预测抗体高变环构象。I. 环状结构的随机构象集合
Biopolymers. 1987 Dec;26(12):2053-85. doi: 10.1002/bip.360261207.