ArticleImmunologic research2013
Theoretical analysis of the neuraminidase epitope of the Mexican A H1N1 influenza strain, and experimental studies on its interaction with rabbit and human hosts.
Article in Immunologic research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 20 citations in OpenAlex.
- Article
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- The Advantage of Using Immunoinformatic Tools on Vaccine Design and Development for Coronavirus.Vaccines · 2022Review
- Modeling and simulation study to identify threonine synthase as possible drug target in Leishmania major.Molecular diversity · 2021Article
- Structural and molecular analyses of functional epitopes and escape mutants in Japanese encephalitis virus envelope protein domain III.Immunologic research · 2020Article
- Bioinformatics design and experimental validation of influenza A virus multi-epitopes that induce neutralizing antibodies.Archives of virology · 2020Article
- Structural and functional characterization of the divergent Entamoeba Src using Src inhibitor-1.Parasites & vectors · 2017Article
- Molecular modeling studies demonstrate key mutations that could affect the ligand recognition by influenza AH1N1 neuraminidase.Journal of molecular modeling · 2015Article
- Predicting peptide vaccine candidates against H1N1 influenza virus through theoretical approaches.Immunologic research · 2015Article
- Targeting a cluster of arginine residues of neuraminidase to avoid oseltamivir resistance in influenza A (H1N1): a theoretical study.Journal of molecular modeling · 2015Article
- Molecular dynamics simulations to provide insights into epitopes coupled to the soluble and membrane-bound MHC-II complexes.PloS one · 2013Article
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Authors and funding
10 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The neuraminidase (NA) epitope from the Mexican AH1N1 influenza virus was identified by using sequences registered at the GenBank during the peak of a pandemic (from April 2009 to October 2010). First, NA protein sequences were submitted for multiple alignment analysis, and their three-dimensional models (3-D) were then built by using homology modeling. The most common sequence (denominated wild-type) and its mutants were submitted to linear and nonlinear epitope predictors, which included the major histocompatibility complex type II (MHC II) and B-cell peptides. The epitope prediction was in accordance with evolutionary behavior and some protein structural properties. The latter included a low NA mutation rate, NA 3-D surface exposure, and the presence of high hindrance side chain residues. After selecting the epitope, docking studies and molecular dynamics (MD) simulations were used to explore interactions between the epitope and MHC II. Afterward, several experimental assays were performed to validate the theoretical study by using antibodies from humans (infected by pandemic H1N1) and rabbits (epitope vaccination). The results show 119 complete sequences that were grouped into 28 protein sequences according to their identity (one wild-type and 27 representative mutants (1-5 mutations)). The predictors yielded several epitopes, with the best fit being the one located in the C-terminal region. Theoretical methods demonstrated that the selected epitope reached the P4, P6, P7, and P9 pockets of MHC II, whereas the experimental evidence indicates that the epitope is recognized by human antibodies and also by rabbit antibodies immunized with the peptide.
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