Single mutation induced H3N2 hemagglutinin antibody neutralization: a free energy perturbation study.
The single mutation effect on the binding affinity of H3N2 viral protein hemagglutinin (HA) with the monoclonical antibody fragment (Fab) is studied in this paper using the free energy perturbation (FEP) simulations. An all-atom protein model with explicit solvents is used to perform an aggregate of several microsecond FEP molecular dynamics simulations. A recent experiment shows that a single mutation in H3N2 HA, T131I, increases the antibody-antigen dissociation constant Kd by a factor of approximately 4000 (equivalent to a binding affinity decrease of approximately 5 kcal/mol), thus introducing an escape of the antibody (Ab) neutralization. Our FEP result confirms this experimental finding by estimating the HA-Ab binding affinity decrease of 5.2 +/- 0.9 kcal/mol but with a somewhat different molecular mechanism from the experimental findings. Detailed analysis reveals that this large binding affinity decrease in the T131I mutant is mainly due to the displacement of two bridge water molecules otherwise present in the wild-type HA/Ab interface. The decomposition of the binding free energy supports this observation, as the major contribution to the binding affinity is from the electrostatic interactions. In addition, we find that the loss of the binding affinity is also related to the large conformational distortion of one loop (loop 155-161) in the unbound state of the mutant. We then simulate all other possible mutations for this specific mutation site T131, and predict a few more mutations with even larger decreases in the binding affinity (i.e., better candidates for antibody neutralization), such as T131W, T131Y, and T131F. As for further validation, we have also modeled another mutation, S157L, with experimental binding affinity available (Kd increasing approximately 500 times), and found a binding affinity decrease of 4.1 +/- 1.0 kcal/mol, which is again in excellent agreement with experiment. These large scale simulations might provide new insights into the detailed physical interaction, possible future escape mutation, and antibody-antigen coevolution relationship between influenza virus and human antibodies.
Zhou
Ruhong
R
IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598, USA. ruhongz@us.ibm.com
Das
Payel
P
Royyuru
Ajay K
AK
D000914:Antibodies, Viral / Q000737:chemistry* / Q000276:immunology*; D003198:Computer Simulation; D019267:Hemagglutinin Glycoproteins, Influenza Virus / Q000737:chemistry* / Q000235:genetics / Q000276:immunology* / Q000378:metabolism; D053122:Influenza A Virus, H3N2 Subtype / Q000235:genetics / Q000276:immunology* / Q000378:metabolism*; D008958:Models, Molecular; D009154:Mutation / Q000235:genetics*; D009500:Neutralization Tests; D011485:Protein Binding; D020836:Protein Structure, Quaternary
D000914:Antibodies, Viral; D019267:Hemagglutinin Glycoproteins, Influenza Virus