Evidence map›Paper›PMID 20936494›Full record

ArticleJournal of computer-aided molecular design2010

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 Marshall, F Javier Luque

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Article in Journal of computer-aided molecular design, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Constanza CárdenasLaboratorio de Genética e Inmunología Molecular, Facultad de Ciencias, Pontificia Universidad Católica de Valparaíso, Chile, Av. Brasil 2950, Valparaiso, Chile. constanza.cardenas@ucv.cl
Axel Bidon-Chanal
Pablo Conejeros
Gloria Arenas
Sergio Marshall
F Javier Luque

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Molecular Dynamics SimulationAllelesAmino Acid SequenceAnimalsBinding SitesEpitopesHumansMajor Histocompatibility ComplexPeptidesProtein BindingSalmo salarSequence Homology, Amino AcidEpitopesPeptides

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.