Literature DB >> 20143317

The MHC motif viewer: a visualization tool for MHC binding motifs.

Nicolas Rapin1, Ilka Hoof, Ole Lund, Morten Nielsen.   

Abstract

In vertebrates, the onset of cellular immune reactions is controlled by presentation of peptides in complex with major histocompatibility complex (MHC) molecules to T cell receptors. In humans, MHCs are called human leukocyte antigens (HLAs). Different MHC molecules present different subsets of peptides, and knowledge of their binding specificities is important for understanding differences in the immune response between individuals. Algorithms predicting which peptides bind a given MHC molecule have recently been developed with high prediction accuracy. The utility of these algorithms is hampered by the lack of tools for browsing and comparing specificity of these molecules. We have developed a Web server, MHC Motif Viewer, which allows the display of the binding motif for MHC class I proteins for human, chimpanzee, rhesus monkey, mouse, and swine, as well as HLA-DR protein sequences. The binding motif for each MHC molecule is predicted using state-of-the-art, pan-specific peptide-MHC binding-prediction methods, and is visualized as a sequence logo, in a format that allows for a comprehensive interpretation of binding motif anchor positions and amino acid preferences.

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Year:  2010        PMID: 20143317     DOI: 10.1002/0471142735.im1817s88

Source DB:  PubMed          Journal:  Curr Protoc Immunol        ISSN: 1934-3671


  24 in total

1.  NetMHCcons: a consensus method for the major histocompatibility complex class I predictions.

Authors:  Edita Karosiene; Claus Lundegaard; Ole Lund; Morten Nielsen
Journal:  Immunogenetics       Date:  2011-10-20       Impact factor: 2.846

Review 2.  MHC class II epitope predictive algorithms.

Authors:  Morten Nielsen; Ole Lund; Søren Buus; Claus Lundegaard
Journal:  Immunology       Date:  2010-04-12       Impact factor: 7.397

Review 3.  Major histocompatibility complex class I binding predictions as a tool in epitope discovery.

Authors:  Claus Lundegaard; Ole Lund; Søren Buus; Morten Nielsen
Journal:  Immunology       Date:  2010-05-26       Impact factor: 7.397

4.  Impact of Cysteine Residues on MHC Binding Predictions and Recognition by Tumor-Reactive T Cells.

Authors:  Abraham Sachs; Eugene Moore; Zeynep Kosaloglu-Yalcin; Bjoern Peters; John Sidney; Steven A Rosenberg; Paul F Robbins; Alessandro Sette
Journal:  J Immunol       Date:  2020-06-22       Impact factor: 5.422

Review 5.  The identification of potentially pathogenic and therapeutic epitopes from common human allergens.

Authors:  Véronique Schulten; Carla Oseroff; Rafeul Alam; David Broide; Pandurangan Vijayanand; Bjoern Peters; Alessandro Sette
Journal:  Ann Allergy Asthma Immunol       Date:  2012-11-15       Impact factor: 6.347

6.  Approach for Identifying Human Leukocyte Antigen (HLA)-DR Bound Peptides from Scarce Clinical Samples.

Authors:  Tina Heyder; Maxie Kohler; Nataliya K Tarasova; Sabrina Haag; Dorothea Rutishauser; Natalia V Rivera; Charlotta Sandin; Sohel Mia; Vivianne Malmström; Åsa M Wheelock; Jan Wahlström; Rikard Holmdahl; Anders Eklund; Roman A Zubarev; Johan Grunewald; A Jimmy Ytterberg
Journal:  Mol Cell Proteomics       Date:  2016-07-24       Impact factor: 5.911

7.  MHCcluster, a method for functional clustering of MHC molecules.

Authors:  Martin Thomsen; Claus Lundegaard; Søren Buus; Ole Lund; Morten Nielsen
Journal:  Immunogenetics       Date:  2013-06-18       Impact factor: 2.846

8.  Multi-level Proteomics Identifies CT45 as a Chemosensitivity Mediator and Immunotherapy Target in Ovarian Cancer.

Authors:  Fabian Coscia; Ernst Lengyel; Jaikumar Duraiswamy; Bradley Ashcroft; Michal Bassani-Sternberg; Michael Wierer; Alyssa Johnson; Kristen Wroblewski; Anthony Montag; S Diane Yamada; Blanca López-Méndez; Jakob Nilsson; Andreas Mund; Matthias Mann; Marion Curtis
Journal:  Cell       Date:  2018-09-20       Impact factor: 41.582

9.  Purification of soluble HLA class I complexes from human serum or plasma deliver high quality immuno peptidomes required for biomarker discovery.

Authors:  Danilo Ritz; Andreas Gloger; Dario Neri; Tim Fugmann
Journal:  Proteomics       Date:  2016-12-22       Impact factor: 3.984

10.  High-sensitivity HLA class I peptidome analysis enables a precise definition of peptide motifs and the identification of peptides from cell lines and patients' sera.

Authors:  Danilo Ritz; Andreas Gloger; Benjamin Weide; Claus Garbe; Dario Neri; Tim Fugmann
Journal:  Proteomics       Date:  2016-05       Impact factor: 3.984

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