Literature DB >> 17077136

Methods and protocols for prediction of immunogenic epitopes.

Joo Chuan Tong1, Tin Wee Tan, Shoba Ranganathan.   

Abstract

T-cell recognition of peptide/major histocompatibility complex (MHC) is a prerequisite for cellular immunity. Recently, there has been an influx of bioinformatics tools to facilitate the identification of T-cell epitopes to specific MHC alleles. This article examines existing computational strategies for the study of peptide/MHC interactions. The most important bioinformatics tools and methods with relevance to the study of peptide/MHC interactions have been reviewed. We have also provided guidelines for predicting antigenic peptides based on the availability of existing experimental data.

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Year:  2006        PMID: 17077136     DOI: 10.1093/bib/bbl038

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  30 in total

1.  Computational design, functional analysis and antigenic epitope estimation of a novel hybrid of 12 peptides of hirudin and reteplase.

Authors:  Yingting Cai; Jingxiao Bao; Xingzhen Lao; Heng Zheng; Jianhua Chen; Rong Yu
Journal:  J Mol Model       Date:  2015-08-13       Impact factor: 1.810

2.  Side chain substitution benchmark for peptide/MHC interaction.

Authors:  Bernhard Knapp; Ulrich Omasits; Wolfgang Schreiner
Journal:  Protein Sci       Date:  2008-04-23       Impact factor: 6.725

3.  Weighted lambda superstrings applied to vaccine design.

Authors:  Luis Martínez; Martin Milanič; Iker Malaina; Carmen Álvarez; Martín-Blas Pérez; Ildefonso M de la Fuente
Journal:  PLoS One       Date:  2019-02-08       Impact factor: 3.240

4.  Monoclonal antibody preparation and expression profile analysis of a novel hepatoma associated gene.

Authors:  Yanhong Liu; Jie Song; Yuehui Li; Yanjie Zhao; Qiang Ju; Guohua Zhou; Guancheng Li
Journal:  Pathol Oncol Res       Date:  2013-11-09       Impact factor: 3.201

Review 5.  High throughput T epitope mapping and vaccine development.

Authors:  Giuseppina Li Pira; Federico Ivaldi; Paolo Moretti; Fabrizio Manca
Journal:  J Biomed Biotechnol       Date:  2010-06-15

6.  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

7.  Controlling influenza by cytotoxic T-cells: calling for help from destroyers.

Authors:  Michael Schotsaert; Lorena Itatí Ibañez; Walter Fiers; Xavier Saelens
Journal:  J Biomed Biotechnol       Date:  2010-05-24

8.  Peptide binding predictions for HLA DR, DP and DQ molecules.

Authors:  Peng Wang; John Sidney; Yohan Kim; Alessandro Sette; Ole Lund; Morten Nielsen; Bjoern Peters
Journal:  BMC Bioinformatics       Date:  2010-11-22       Impact factor: 3.169

9.  pDOCK: a new technique for rapid and accurate docking of peptide ligands to Major Histocompatibility Complexes.

Authors:  Javed Mohammed Khan; Shoba Ranganathan
Journal:  Immunome Res       Date:  2010-09-27

10.  A computational docking study on the pH dependence of peptide binding to HLA-B27 sub-types differentially associated with ankylosing spondylitis.

Authors:  Onur Serçinoğlu; Gülin Özcan; Zeynep Kutlu Kabaş; Pemra Ozbek
Journal:  J Comput Aided Mol Des       Date:  2016-08-09       Impact factor: 3.686

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