Literature DB >> 15657103

EPIMHC: a curated database of MHC-binding peptides for customized computational vaccinology.

Pedro A Reche1, Hong Zhang, John-Paul Glutting, Ellis L Reinherz.   

Abstract

SUMMARY: EPIMHC is a relational database of MHC-binding peptides and T cell epitopes that are observed in real proteins. Currently, the database contains 4867 distinct peptide sequences from various sources, including 84 tumor-associated antigens. The EPIMHC database is accessible through a web server that has been designed to facilitate research in computational vaccinology. Importantly, peptides resulting from a query can be selected to derive specific motif-matrices. Subsequently, these motif-matrices can be used in combination with a dynamic algorithm for predicting MHC-binding peptides from user-provided protein queries. AVAILABILITY: The EPIMHC database server is hosted by the Dana-Farber Cancer Institute at the site http://immunax.dfci.harvard.edu/bioinformatics/epimhc/

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Year:  2005        PMID： 15657103     DOI： 10.1093/bioinformatics/bti269

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  27 in total

1.  MHC-BPS: MHC-binder prediction server for identifying peptides of flexible lengths from sequence-derived physicochemical properties.

Authors:  Juan Cui; Lian Yi Han; Hong Huang Lin; Zhi Qun Tang; Li Jiang; Zhi Wei Cao; Yu Zong Chen
Journal:  Immunogenetics       Date:  2006-07-11       Impact factor: 2.846

2.  A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction.

Authors:  Shutao Mei; Fuyi Li; André Leier; Tatiana T Marquez-Lago; Kailin Giam; Nathan P Croft; Tatsuya Akutsu; A Ian Smith; Jian Li; Jamie Rossjohn; Anthony W Purcell; Jiangning Song
Journal:  Brief Bioinform       Date:  2020-07-15       Impact factor: 11.622

3.  MHC I stabilizing potential of computer-designed octapeptides.

Authors:  Joanna M Wisniewska; Natalie Jäger; Anja Freier; Florian O Losch; Karl-Heinz Wiesmüller; Peter Walden; Paul Wrede; Gisbert Schneider; Jan A Hiss
Journal:  J Biomed Biotechnol       Date:  2010-05-25

Review 4.  Design and utilization of epitope-based databases and predictive tools.

Authors:  Nima Salimi; Ward Fleri; Bjoern Peters; Alessandro Sette
Journal:  Immunogenetics       Date:  2010-03-06       Impact factor: 2.846

5.  Computational immunology meets bioinformatics: the use of prediction tools for molecular binding in the simulation of the immune system.

Authors:  Nicolas Rapin; Ole Lund; Massimo Bernaschi; Filippo Castiglione
Journal:  PLoS One       Date:  2010-04-16       Impact factor: 3.240

6.  Computer aided selection of candidate vaccine antigens.

Authors:  Darren R Flower; Isabel K Macdonald; Kamna Ramakrishnan; Matthew N Davies; Irini A Doytchinova
Journal:  Immunome Res       Date:  2010-11-03

Review 7.  Computational genomics tools for dissecting tumour-immune cell interactions.

Authors:  Hubert Hackl; Pornpimol Charoentong; Francesca Finotello; Zlatko Trajanoski
Journal:  Nat Rev Genet       Date:  2016-07-04       Impact factor: 53.242

Review 8.  Bioinformatics for cancer immunology and immunotherapy.

Authors:  Pornpimol Charoentong; Mihaela Angelova; Mirjana Efremova; Ralf Gallasch; Hubert Hackl; Jerome Galon; Zlatko Trajanoski
Journal:  Cancer Immunol Immunother       Date:  2012-09-18       Impact factor: 6.968

9.  PREDIVAC: CD4+ T-cell epitope prediction for vaccine design that covers 95% of HLA class II DR protein diversity.

Authors:  Patricio Oyarzún; Jonathan J Ellis; Mikael Bodén; Boštjan Kobe
Journal:  BMC Bioinformatics       Date:  2013-02-14       Impact factor: 3.169

10.  CD8 T cell epitope distribution in viruses reveals patterns of protein biosynthesis.

Authors:  Carmen M Diez-Rivero; Pedro A Reche
Journal:  PLoS One       Date:  2012-08-27       Impact factor: 3.240
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