Literature DB >> 25837466

Antibody specific epitope prediction-emergence of a new paradigm.

Inbal Sela-Culang1, Yanay Ofran1, Bjoern Peters2.   

Abstract

The development of accurate tools for predicting B-cell epitopes is important but difficult. Traditional methods have examined which regions in an antigen are likely binding sites of an antibody. However, it is becoming increasingly clear that most antigen surface residues will be able to bind one or more of the myriad of possible antibodies. In recent years, new approaches have emerged for predicting an epitope for a specific antibody, utilizing information encoded in antibody sequence or structure. Applying such antibody-specific predictions to groups of antibodies in combination with easily obtainable experimental data improves the performance of epitope predictions. We expect that further advances of such tools will be possible with the integration of immunoglobulin repertoire sequencing data.
Copyright © 2015 Elsevier B.V. All rights reserved.

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Year:  2015        PMID: 25837466      PMCID: PMC4456244          DOI: 10.1016/j.coviro.2015.03.012

Source DB:  PubMed          Journal:  Curr Opin Virol        ISSN: 1879-6257            Impact factor:   7.090


  50 in total

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Journal:  Biochemistry       Date:  1986-09-23       Impact factor: 3.162

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Authors:  J L Pellequer; E Westhof; M H Van Regenmortel
Journal:  Immunol Lett       Date:  1993-04       Impact factor: 3.685

6.  A systematic comparison of free and bound antibodies reveals binding-related conformational changes.

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Journal:  J Immunol       Date:  2012-10-12       Impact factor: 5.422

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Journal:  BMC Immunol       Date:  2006-04-07       Impact factor: 3.615

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Authors:  Jens Vindahl Kringelum; Claus Lundegaard; Ole Lund; Morten Nielsen
Journal:  PLoS Comput Biol       Date:  2012-12-27       Impact factor: 4.475

9.  Antibody-protein interactions: benchmark datasets and prediction tools evaluation.

Authors:  Julia V Ponomarenko; Philip E Bourne
Journal:  BMC Struct Biol       Date:  2007-10-02

10.  Evaluation and use of in-silico structure-based epitope prediction with foot-and-mouth disease virus.

Authors:  Daryl W Borley; Mana Mahapatra; David J Paton; Robert M Esnouf; David I Stuart; Elizabeth E Fry
Journal:  PLoS One       Date:  2013-05-07       Impact factor: 3.240

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  20 in total

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Journal:  MAbs       Date:  2015-12-14       Impact factor: 5.857

2.  In Silico Prediction of Linear B-Cell Epitopes on Proteins.

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Journal:  Methods Mol Biol       Date:  2017

3.  Learning context-aware structural representations to predict antigen and antibody binding interfaces.

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Journal:  Bioinformatics       Date:  2020-07-01       Impact factor: 6.937

4.  PRRDB 2.0: a comprehensive database of pattern-recognition receptors and their ligands.

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Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

Review 5.  Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies.

Authors:  Rahmad Akbar; Habib Bashour; Puneet Rawat; Philippe A Robert; Eva Smorodina; Tudor-Stefan Cotet; Karine Flem-Karlsen; Robert Frank; Brij Bhushan Mehta; Mai Ha Vu; Talip Zengin; Jose Gutierrez-Marcos; Fridtjof Lund-Johansen; Jan Terje Andersen; Victor Greiff
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

6.  Rapid fine conformational epitope mapping using comprehensive mutagenesis and deep sequencing.

Authors:  Caitlin A Kowalsky; Matthew S Faber; Aritro Nath; Hailey E Dann; Vince W Kelly; Li Liu; Purva Shanker; Ellen K Wagner; Jennifer A Maynard; Christina Chan; Timothy A Whitehead
Journal:  J Biol Chem       Date:  2015-08-20       Impact factor: 5.157

7.  Protein Interaction Interface Region Prediction by Geometric Deep Learning.

Authors:  Bowen Dai; Chris Bailey-Kellogg
Journal:  Bioinformatics       Date:  2021-03-06       Impact factor: 6.937

Review 8.  Structural and Computational Biology in the Design of Immunogenic Vaccine Antigens.

Authors:  Lassi Liljeroos; Enrico Malito; Ilaria Ferlenghi; Matthew James Bottomley
Journal:  J Immunol Res       Date:  2015-10-07       Impact factor: 4.818

Review 9.  Structure-Based Reverse Vaccinology Failed in the Case of HIV Because it Disregarded Accepted Immunological Theory.

Authors:  Marc H V Van Regenmortel
Journal:  Int J Mol Sci       Date:  2016-09-21       Impact factor: 5.923

10.  Computationally-driven identification of antibody epitopes.

Authors:  Casey K Hua; Albert T Gacerez; Charles L Sentman; Margaret E Ackerman; Yoonjoo Choi; Chris Bailey-Kellogg
Journal:  Elife       Date:  2017-12-04       Impact factor: 8.140

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