Literature DB >> 19751513

Epitopia: a web-server for predicting B-cell epitopes.

Nimrod D Rubinstein1, Itay Mayrose, Eric Martz, Tal Pupko.   

Abstract

BACKGROUND: Detecting candidate B-cell epitopes in a protein is a basic and fundamental step in many immunological applications. Due to the impracticality of experimental approaches to systematically scan the entire protein, a computational tool that predicts the most probable epitope regions is desirable.
RESULTS: The Epitopia server is a web-based tool that aims to predict immunogenic regions in either a protein three-dimensional structure or a linear sequence. Epitopia implements a machine-learning algorithm that was trained to discern antigenic features within a given protein. The Epitopia algorithm has been compared to other available epitope prediction tools and was found to have higher predictive power. A special emphasis was put on the development of a user-friendly graphical interface for displaying the results.
CONCLUSION: Epitopia is a user-friendly web-server that predicts immunogenic regions for both a protein structure and a protein sequence. Its accuracy and functionality make it a highly useful tool. Epitopia is available at http://epitopia.tau.ac.il and includes extensive explanations and example predictions.

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Year:  2009        PMID: 19751513      PMCID: PMC2751785          DOI: 10.1186/1471-2105-10-287

Source DB:  PubMed          Journal:  BMC Bioinformatics        ISSN: 1471-2105            Impact factor:   3.169


  17 in total

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4.  A machine-learning approach for predicting B-cell epitopes.

Authors:  Nimrod D Rubinstein; Itay Mayrose; Tal Pupko
Journal:  Mol Immunol       Date:  2008-10-22       Impact factor: 4.407

5.  The atomic structure of protein-protein recognition sites.

Authors:  L Lo Conte; C Chothia; J Janin
Journal:  J Mol Biol       Date:  1999-02-05       Impact factor: 5.469

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Journal:  J Mol Biol       Date:  1997-09-12       Impact factor: 5.469

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Journal:  Structure       Date:  1998-09-15       Impact factor: 5.006

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Authors:  Urmila Kulkarni-Kale; Shriram Bhosle; A S Kolaskar
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

Review 10.  Random-peptide libraries and antigen-fragment libraries for epitope mapping and the development of vaccines and diagnostics.

Authors:  M B Irving; O Pan; J K Scott
Journal:  Curr Opin Chem Biol       Date:  2001-06       Impact factor: 8.822

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  70 in total

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5.  Inadequate Reference Datasets Biased toward Short Non-epitopes Confound B-cell Epitope Prediction.

Authors:  Kh Shamsur Rahman; Erfan Ullah Chowdhury; Konrad Sachse; Bernhard Kaltenboeck
Journal:  J Biol Chem       Date:  2016-05-09       Impact factor: 5.157

6.  A meta-learning approach for B-cell conformational epitope prediction.

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Journal:  BMC Bioinformatics       Date:  2014-11-18       Impact factor: 3.169

7.  Structure and function insights garnered from in silico modeling of the thrombospondin type-1 domain-containing 7A antigen.

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8.  Structural analysis of B-cell epitopes in antibody:protein complexes.

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Journal:  Mol Immunol       Date:  2012-07-10       Impact factor: 4.407

9.  EPSVR and EPMeta: prediction of antigenic epitopes using support vector regression and multiple server results.

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Journal:  BMC Bioinformatics       Date:  2010-07-16       Impact factor: 3.169

10.  Anti-S100A4 antibody suppresses metastasis formation by blocking stroma cell invasion.

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