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本文引用的文献

1
A method for predicting protein structure from sequence.
Curr Biol. 1993 Jul 1;3(7):414-23. doi: 10.1016/0960-9822(93)90348-r.
2
Energy-based de novo protein folding by conformational space annealing and an off-lattice united-residue force field: application to the 10-55 fragment of staphylococcal protein A and to apo calbindin D9K.基于能量的从头蛋白质折叠:通过构象空间退火和非晶格联合残基力场实现,应用于葡萄球菌蛋白A的10-55片段和脱辅基钙结合蛋白D9K
Proc Natl Acad Sci U S A. 1999 Mar 2;96(5):2025-30. doi: 10.1073/pnas.96.5.2025.
3
A brighter future for protein structure prediction.蛋白质结构预测的光明未来。
Nat Struct Biol. 1999 Feb;6(2):108-11. doi: 10.1038/5794.
4
Protein structure prediction by threading. Why it works and why it does not.基于穿线法的蛋白质结构预测。其奏效的原因及不奏效的原因。
J Mol Biol. 1998 Oct 23;283(2):507-26. doi: 10.1006/jmbi.1998.2092.
5
Crystal structure of Escherichia coli HdeA.
Nat Struct Biol. 1998 Sep;5(9):763-4. doi: 10.1038/1796.
6
A novel DNA-binding motif in MarA: the first structure for an AraC family transcriptional activator.MarA中一种新型的DNA结合基序:AraC家族转录激活因子的首个结构。
Proc Natl Acad Sci U S A. 1998 Sep 1;95(18):10413-8. doi: 10.1073/pnas.95.18.10413.
7
New developments of the electrostatically driven Monte Carlo method: test on the membrane-bound portion of melittin.静电驱动蒙特卡罗方法的新进展:对蜂毒肽膜结合部分的测试
Biopolymers. 1998 Aug;46(2):117-26. doi: 10.1002/(SICI)1097-0282(199808)46:2<117::AID-BIP6>3.0.CO;2-P.
8
Conformational analysis of the 20-residue membrane-bound portion of melittin by conformational space annealing.通过构象空间退火对蜂毒肽20个残基的膜结合部分进行构象分析。
Biopolymers. 1998 Aug;46(2):103-16. doi: 10.1002/(SICI)1097-0282(199808)46:2<103::AID-BIP5>3.0.CO;2-Q.
9
What is the probability of a chance prediction of a protein structure with an rmsd of 6 A?对于均方根偏差为6埃的蛋白质结构进行随机预测的概率是多少?
Fold Des. 1998;3(2):141-7. doi: 10.1016/s1359-0278(98)00019-4.
10
Progress in protein structure prediction.蛋白质结构预测的进展。
Curr Opin Struct Biol. 1997 Jun;7(3):377-87. doi: 10.1016/s0959-440x(97)80055-3.

通过势能函数的全局优化进行蛋白质结构预测。

Protein structure prediction by global optimization of a potential energy function.

作者信息

Liwo A, Lee J, Ripoll D R, Pillardy J, Scheraga H A

机构信息

Baker Laboratory of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853-1301, USA.

出版信息

Proc Natl Acad Sci U S A. 1999 May 11;96(10):5482-5. doi: 10.1073/pnas.96.10.5482.

DOI:10.1073/pnas.96.10.5482
PMID:10318909
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC21885/
Abstract

An approach based exclusively on finding the global minimum of an appropriate potential energy function has been used to predict the unknown structures of five globular proteins with sizes ranging from 89 to 140 amino acid residues. Comparison of the computed lowest-energy structures of two of them (HDEA and MarA) with the crystal structures, released by the Protein Data Bank after the predictions were made, shows that large fragments (61 residues) of both proteins were predicted with rms deviations of 4.2 and 6.0 A for the Calpha atoms, for HDEA and MarA, respectively. This represents 80% and 53% of the observed structures of HDEA and MarA, respectively. Similar rms deviations were obtained for approximately 60-residue fragments of the other three proteins. These results constitute an important step toward the prediction of protein structure based solely on global optimization of a potential energy function for a given amino acid sequence.

摘要

一种仅基于寻找合适势能函数全局最小值的方法,已被用于预测五种球状蛋白质的未知结构,这些蛋白质的大小范围为89至140个氨基酸残基。在预测完成后,将其中两种蛋白质(HDEA和MarA)计算得到的最低能量结构与蛋白质数据库发布的晶体结构进行比较,结果表明,对于HDEA和MarA,两种蛋白质的大片段(61个残基)的预测结果中,Cα原子的均方根偏差分别为4.2 Å和6.0 Å。这分别占HDEA和MarA观察到的结构的80%和53%。对于其他三种蛋白质约60个残基的片段,也获得了类似的均方根偏差。这些结果代表了仅基于对给定氨基酸序列的势能函数进行全局优化来预测蛋白质结构的重要一步。