Energy Landscape for the Membrane Fusion Pathway in Influenza A Hemagglutinin From Discrete Path Sampling

被引:5
|
作者
Burke, David F. [1 ]
Mantell, Rosemary G. [2 ]
Pitt, Catherine E. [2 ]
Wales, David J. [2 ]
机构
[1] EMBL EBI, Wellcome Genome Campus, Hinxton, England
[2] Univ Cambridge, Dept Chem, Cambridge, England
来源
FRONTIERS IN CHEMISTRY | 2020年 / 8卷
基金
英国工程与自然科学研究理事会;
关键词
energy landscape; rare event algorithms; influenza; membrane fusion; discrete path sampling; MOLECULAR-DYNAMICS SIMULATIONS; GENERALIZED BORN MODEL; ELASTIC BAND METHOD; CONFORMATIONAL-CHANGE; DEFECT MIGRATION; NUCLEIC-ACIDS; STATE MODELS; FORCE-FIELD; PEPTIDE; MECHANISM;
D O I
10.3389/fchem.2020.575195
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The conformational change associated with membrane fusion for Influenza A Hemagglutinin is investigated with a model based upon pre- and post-fusion structures of the HA2 component. We employ computational methods based on the potential energy landscape framework to obtain an initial path connecting these two end points, which provides the starting point for refinement of a kinetic transition network. Here we employ discrete path sampling, which provides access to the experimental time and length scales via geometry optimization techniques to identify local minima and the transition states that connect them. We then analyse the distinct phases of the predicted pathway in terms of structure and energetics, and compare with available experimental data and previous simulations. Our results provide the foundations for future work, which will address the effect of mutations, changes in pH, and incorporation of additional components, especially the HA1 chain and the fusion peptide.
引用
收藏
页数:11
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