Literature DB >> 11934742

JenPep: a database of quantitative functional peptide data for immunology.

Martin J Blythe1, Irini A Doytchinova, Darren R Flower.   

Abstract

MOTIVATION: The compilation of quantitative binding data underlies attempts to derive tools for the accurate prediction of epitopes in cellular immunology and is part of our concerted goal to develop practical computational vaccinology.
RESULTS: JenPep is a family of relational databases supporting the growing community of immunoinformaticians. It contains quantitative data on peptide binding to Major Histocompatibility Complexes (MHCs) and to Transmembrane Peptide Transporter (TAP), as well as an annotated list of T-cell epitopes. AVAILABILITY: The database is available via the Internet. An HTML interface allowing searching of the database can be found at the following address: http://www.jenner.ac.uk/JenPep.

Mesh:

Substances:

Year:  2002        PMID: 11934742     DOI: 10.1093/bioinformatics/18.3.434

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


  32 in total

1.  A comparative molecular similarity index analysis (CoMSIA) study identifies an HLA-A2 binding supermotif.

Authors:  Irini A Doytchinova; Darren R Flower
Journal:  J Comput Aided Mol Des       Date:  2002 Aug-Sep       Impact factor: 3.686

Review 2.  Immunoinformatics: an integrated scenario.

Authors:  Namrata Tomar; Rajat K De
Journal:  Immunology       Date:  2010-08-16       Impact factor: 7.397

3.  Computational prediction of cleavage using proteasomal in vitro digestion and MHC I ligand data.

Authors:  Yu-feng Lu; Hao Sheng; Yi Zhang; Zhi-yang Li
Journal:  J Zhejiang Univ Sci B       Date:  2013-09       Impact factor: 3.066

4.  Proteomics in Vaccinology and Immunobiology: An Informatics Perspective of the Immunone.

Authors:  Irini A. Doytchinova; Paul Taylor; Darren R. Flower
Journal:  J Biomed Biotechnol       Date:  2003

5.  Analysis and prediction of affinity of TAP binding peptides using cascade SVM.

Authors:  Manoj Bhasin; G P S Raghava
Journal:  Protein Sci       Date:  2004-03       Impact factor: 6.725

6.  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

7.  Predicting MHC class I epitopes in large datasets.

Authors:  Kirsten Roomp; Iris Antes; Thomas Lengauer
Journal:  BMC Bioinformatics       Date:  2010-02-17       Impact factor: 3.169

8.  Prediction of HLA-DQ8beta cell peptidome using a computational program and its relationship to autoreactive T cells.

Authors:  Kuan Y Chang; Emil R Unanue
Journal:  Int Immunol       Date:  2009-05-21       Impact factor: 4.823

9.  The immune epitope database 2.0.

Authors:  Randi Vita; Laura Zarebski; Jason A Greenbaum; Hussein Emami; Ilka Hoof; Nima Salimi; Rohini Damle; Alessandro Sette; Bjoern Peters
Journal:  Nucleic Acids Res       Date:  2009-11-11       Impact factor: 16.971

10.  Integrating in silico and in vitro analysis of peptide binding affinity to HLA-Cw*0102: a bioinformatic approach to the prediction of new epitopes.

Authors:  Valerie A Walshe; Channa K Hattotuwagama; Irini A Doytchinova; Mailee Wong; Isabel K Macdonald; Arend Mulder; Frans H J Claas; Pierre Pellegrino; Jo Turner; Ian Williams; Emma L Turnbull; Persephone Borrow; Darren R Flower
Journal:  PLoS One       Date:  2009-11-30       Impact factor: 3.240

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