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Prediction of probable mutations in influenza virus hemagglutinin protein based on large-scale ab initio fragment molecular orbital calculations.
- Source :
-
Journal of molecular graphics & modelling [J Mol Graph Model] 2011 Sep; Vol. 30, pp. 110-9. Date of Electronic Publication: 2011 Jul 06. - Publication Year :
- 2011
-
Abstract
- Ab initio electronic-state calculations for influenza virus hemagglutinin (HA) trimer complexed with Fab antibody were performed on the basis of the fragment molecular orbital (FMO) method at the second and third-order Møller-Plesset (MP2 and MP3) perturbation levels. For the protein complex containing 2351 residues and 36,160 atoms, the inter-fragment interaction energies (IFIEs) were evaluated to illustrate the effective interactions between all the pairs of amino acid residues. By analyzing the calculated data on the IFIEs, we first discussed the interactions and their fluctuations between multiple domains contained in the trimer complex. Next, by combining the IFIE data between the Fab antibody and each residue in the HA antigen with experimental data on the hemadsorption activity of HA mutants, we proposed a protocol to predict probable mutations in HA. The proposed protocol based on the FMO-MP2.5 calculation can explain the historical facts concerning the actual mutations after the emergence of A/Hong Kong/1/68 influenza virus with subtype H3N2, and thus provides a useful methodology to enumerate those residue sites likely to mutate in the future.<br /> (Copyright © 2011 Elsevier Inc. All rights reserved.)
- Subjects :
- Algorithms
Amino Acid Motifs
Computer Simulation
Evolution, Molecular
Hydrogen Bonding
Influenza Vaccines chemistry
Models, Molecular
Protein Binding
Protein Interaction Domains and Motifs
Thermodynamics
Viral Proteins genetics
Hemagglutinins chemistry
Immunoglobulin Fab Fragments chemistry
Influenza A virus genetics
Mutation
Viral Proteins chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 1873-4243
- Volume :
- 30
- Database :
- MEDLINE
- Journal :
- Journal of molecular graphics & modelling
- Publication Type :
- Academic Journal
- Accession number :
- 21798776
- Full Text :
- https://doi.org/10.1016/j.jmgm.2011.06.011