Comparative study of generalized Born models: Protein dynamics

被引:61
作者
Fan, H
Mark, AE [1 ]
Zhu, J
Honig, B
机构
[1] Univ Groningen, Dept Biophys Chem, Groningen Biomol Sci & Biotechnol Inst, NL-9747 AG Groningen, Netherlands
[2] Columbia Univ, Dept Biochem & Mol Biophys, New York, NY 10032 USA
[3] Howard Hughes Med Inst, New York, NY 10032 USA
关键词
analysis of variance; molecular dynamics;
D O I
10.1073/pnas.0408857102
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
this work, we compare the results of molecular dynamics simulations involving the application of three generalized Born (GB) models to 10 different proteins. The three GB models, the Still, HCT, and modified analytical generalized Born models, were implemented in the computationally efficient GROMACS package. The performance of each model was assessed from the backbone rms deviation from the native structure, the number of native hydrogen bonds retained in the simulation, and the experimental and calculated radius of gyration. Analysis of variance (ANOVA) was used to analyze the results of the simulations. The rms deviation measure was found to be unable to distinguish the quality of the results obtained with the three different GB models, whereas the number of native hydrogen bonds and radius of gyration yielded a statistically meaningful discrimination among models. Our results suggest that, of the three, modified analytical generalized Born yields the best agreement between calculated and experimentally derived structures. More generally, our study highlights the need both to evaluate the effects of different variables on the results of simulations and to verify that the results of molecular dynamics simulations are statistically meaningful.
引用
收藏
页码:6760 / 6764
页数:5
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