Molecular modeling of class I and II alleles of the major histocompatibility complex in Salmo salar

Constanza Cárdenas, Axel Bidon-Chanal, Pablo Conejeros, Gloria Arenas, SERGIO HERNAN MARSHALL GONZALEZ, F. Javier Luque

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Knowledge of the 3D structure of the binding groove of major histocompatibility (MHC) molecules, which play a central role in the immune response, is crucial to shed light into the details of peptide recognition and polymorphism. This work reports molecular modeling studies aimed at providing 3D models for two class I and two class II MHC alleles from Salmo salar (Sasa), as the lack of experimental structures of fish MHC molecules represents a serious limitation to understand the specific preferences for peptide binding. The reliability of the structural models built up using bioinformatic tools was explored by means of molecular dynamics simulations of their complexes with representative peptides, and the energetics of the MHC-peptide interaction was determined by combining molecular mechanics interaction energies and implicit continuum solvation calculations. The structural models revealed the occurrence of notable differences in the nature of residues at specific positions in the binding groove not only between human and Sasa MHC proteins, but also between different Sasa alleles. Those differences lead to distinct trends in the structural features that mediate the binding of peptides to both class I and II MHC molecules, which are qualitatively reflected in the relative binding affinities. Overall, the structural models presented here are a valuable starting point to explore the interactions between MHC receptors and pathogen-specific interactions and to design vaccines against viral pathogens.

Original languageEnglish
Pages (from-to)1035-1051
Number of pages17
JournalJournal of Computer-Aided Molecular Design
Volume24
Issue number12
DOIs
StatePublished - 1 Dec 2010

Keywords

  • Major histocompatibility complex
  • Molecular dynamics simulation
  • Molecular modeling
  • Peptide recognition
  • Protein-peptide interaction

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