Literature DB >> 11751237

ProPred: prediction of HLA-DR binding sites.

H Singh1, G P Raghava.   

Abstract

UNLABELLED: ProPred is a graphical web tool for predicting MHC class II binding regions in antigenic protein sequences. The server implement matrix based prediction algorithm, employing amino-acid/position coefficient table deduced from literature. The predicted binders can be visualized either as peaks in graphical interface or as colored residues in HTML interface. This server might be a useful tool in locating the promiscuous binding regions that can bind to several HLA-DR alleles. AVAILABILITY: The server is available at http://www.imtech.res.in/raghava/propred/ CONTACT: raghava@imtech.res.in SUPPLEMENTARY INFORMATION: http://www.imtech.res.in/raghava/propred/page3.html

Mesh:

Substances:

Year:  2001        PMID: 11751237     DOI: 10.1093/bioinformatics/17.12.1236

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


  285 in total

1.  Definition of supertypes for HLA molecules using clustering of specificity matrices.

Authors:  Ole Lund; Morten Nielsen; Can Kesmir; Anders Gorm Petersen; Claus Lundegaard; Peder Worning; Christina Sylvester-Hvid; Kasper Lamberth; Gustav Røder; Sune Justesen; Søren Buus; Søren Brunak
Journal:  Immunogenetics       Date:  2004-02-13       Impact factor: 2.846

2.  Molecular characterization of antigen B2 subunit in two genotypes of Echinococcus granulosus from Indian bubaline isolates, its stage specific expression and serological evaluation.

Authors:  D Pan; A K Bera; S Bandyopadhyay; S Das; T Rana; S K Das; S Bandyopadhyay; B Manna; D Bhattacharya
Journal:  Mol Biol Rep       Date:  2010-09-18       Impact factor: 2.316

3.  Predicting MHC-II binding affinity using multiple instance regression.

Authors:  Yasser EL-Manzalawy; Drena Dobbs; Vasant Honavar
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2011 Jul-Aug       Impact factor: 3.710

Review 4.  Immunoinformatics: an integrated scenario.

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

Review 5.  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

6.  Prediction of MHC binding peptide using Gibbs motif sampler, weight matrix and artificial neural network.

Authors:  Satarudra Prakash Singh; Bhartendu Nath Mishra
Journal:  Bioinformation       Date:  2008-12-06

7.  Immunoprophylaxis of multi-antigen peptide (MAP) vaccine for human lymphatic filariasis.

Authors:  Christiana Immanuel; Aparnaa Ramanathan; Malathi Balasubramaniyan; Vishal Kishor Khatri; Nitin Purushottam Amdare; Donthamsetty Nageswara Rao; Maryada Venkata Rami Reddy; Kaliraj Perumal
Journal:  Immunol Res       Date:  2017-06       Impact factor: 2.829

Review 8.  Antigen-specific vaccines for cancer treatment.

Authors:  Maria Tagliamonte; Annacarmen Petrizzo; Maria Lina Tornesello; Franco M Buonaguro; Luigi Buonaguro
Journal:  Hum Vaccin Immunother       Date:  2014       Impact factor: 3.452

Review 9.  The use of signal peptide domains as vaccine candidates.

Authors:  Riva Kovjazin; Lior Carmon
Journal:  Hum Vaccin Immunother       Date:  2014-10-30       Impact factor: 3.452

10.  Quantifying cathepsin S activity in antigen presenting cells using a novel specific substrate.

Authors:  Nicolas Lützner; Hubert Kalbacher
Journal:  J Biol Chem       Date:  2008-10-28       Impact factor: 5.157

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