首页    期刊浏览 2024年07月06日 星期六
登录注册

文章基本信息

  • 标题:Comparative study of generalized Born models: Protein dynamics
  • 本地全文:下载
  • 作者:Hao Fan ; Alan E. Mark ; Jiang Zhu
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2005
  • 卷号:102
  • 期号:19
  • 页码:6760-6764
  • DOI:10.1073/pnas.0408857102
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:In 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.
  • 关键词:analysis of variance ; molecular dynamics
国家哲学社会科学文献中心版权所有