TY - JOUR
T1 - Molecular mechanism of the enhanced virulence of 2009 pandemic Influenza A (H1N1) virus from D222G mutation in the hemagglutinin
T2 - A molecular modeling study
AU - Pan, Dabo
AU - Xue, Weihua
AU - Wang, Xiaoting
AU - Guo, Jingjing
AU - Liu, Huanxiang
AU - Yao, Xiaojun
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (Grant Nos: 20905033 and 21103075). The authors also would like to thank the Super-computing Center of Gansu Province for providing the computing resources.
PY - 2012/9
Y1 - 2012/9
N2 - D222G mutation of the hemagglutinin (HA) is of special interest because of its close association with the enhanced virulence of 2009 pandemic influenza A (H1N1) virus through the increased binding affinity to a2,3-linked sialylated glycan receptors. However, there is still a lack of detailed understanding about the molecular mechanism of this enhanced virulence. Here, molecular dynamics simulation and binding free energy calculation were performed to explore the altered glycan receptor binding mechanism of HA upon the D222G mutation by studying the interaction of one a2,3-linked sialylglycan (sequence: SIA-GAL-NAG) with the wild type and D222G mutated HA. The binding free energy calculation based on the molecular mechanics generalized Born surface area (MM-GBSA) method indicates that the D222G mutated HA has a much stronger binding affinity with the studied a2,3-linked glycan than the wild type. This is consistent with the experimental result. The increased binding free energy of D222G mutant mainly comes from the increased energy contribution of Gln223. The structural analysis proves that the altered electrostatic potential of receptor binding domain (RBD) and the increased flexibility of 220-loop are the essential reasons leading to the increased affinity of HA to a2,3-linked sialic acid glycans. The obtained results of this study have allowed a deeper understanding of the receptor recognition mechanism and the pathogenicity of influenza virus, which will be valuable to the structure-based inhibitors design targeting influenza virus entry process.
AB - D222G mutation of the hemagglutinin (HA) is of special interest because of its close association with the enhanced virulence of 2009 pandemic influenza A (H1N1) virus through the increased binding affinity to a2,3-linked sialylated glycan receptors. However, there is still a lack of detailed understanding about the molecular mechanism of this enhanced virulence. Here, molecular dynamics simulation and binding free energy calculation were performed to explore the altered glycan receptor binding mechanism of HA upon the D222G mutation by studying the interaction of one a2,3-linked sialylglycan (sequence: SIA-GAL-NAG) with the wild type and D222G mutated HA. The binding free energy calculation based on the molecular mechanics generalized Born surface area (MM-GBSA) method indicates that the D222G mutated HA has a much stronger binding affinity with the studied a2,3-linked glycan than the wild type. This is consistent with the experimental result. The increased binding free energy of D222G mutant mainly comes from the increased energy contribution of Gln223. The structural analysis proves that the altered electrostatic potential of receptor binding domain (RBD) and the increased flexibility of 220-loop are the essential reasons leading to the increased affinity of HA to a2,3-linked sialic acid glycans. The obtained results of this study have allowed a deeper understanding of the receptor recognition mechanism and the pathogenicity of influenza virus, which will be valuable to the structure-based inhibitors design targeting influenza virus entry process.
KW - 2009 pandemic influenza A (H1N1)
KW - Binding free energy calculation
KW - D222G mutation
KW - Glycan receptor binding
KW - Hemagglutinin (HA)
KW - Molecular dynamics simulation
UR - http://www.scopus.com/inward/record.url?scp=84867576774&partnerID=8YFLogxK
U2 - 10.1007/s00894-012-1423-2
DO - 10.1007/s00894-012-1423-2
M3 - Article
C2 - 22581100
AN - SCOPUS:84867576774
SN - 1610-2940
VL - 18
SP - 4355
EP - 4366
JO - Journal of Molecular Modeling
JF - Journal of Molecular Modeling
IS - 9
ER -