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The validity of predicted T-cell epitopes

Trends in Biotechnology, 2006
High-performing MHC class I binding predictions have been available for more than a decade; however, their value in terms of actual epitope finding has only now been estimated in a large-scale investigation undertaken by the group of Sette. This work underlines the importance of bioinformatics as a resource-saving tool in the field of epitope discovery.
Claus, Lundegaard   +2 more
openaire   +2 more sources

An introduction to epitope prediction methods and software

Reviews in Medical Virology, 2008
AbstractIn this paper, current prediction methods and algorithms for both T‐ and B cell epitopes are reviewed, and a comprehensive summary of epitope prediction software and databases currently available online is also provided. This review can offer researchers in this field a sense of direction and insights for future work.
Xingdong, Yang, Xinglong, Yu
openaire   +2 more sources

A framework for developing epitope prediction tools

Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010
Several computational methods for identifying epitopes in antigenic sequences have been proposed in the last decade. Many of these methods have been made accessible via the Internet as online web servers. However, the majority of these servers are not periodically updated to accumulate newly reported experimental data or to support additional major ...
Yasser El-Manzalawy, Vasant G. Honavar
openaire   +1 more source

Prediction of Conformational B-Cell Epitopes

2014
Conformational B-cell epitopes play an important role in the epitope-based vaccine design. The increase of available data promotes the development of computational methods. Compared with the wet experiments, the computational methods are faster and more economic.
Wen, Zhang   +3 more
openaire   +2 more sources

Prediction of the Omp16 Epitopes for the Development of an Epitope-based Vaccine Against Brucellosis

Infectious Disorders - Drug Targets, 2019
Background:Brucellosis is an infectious disease caused by Brucella bacteria that cause disease in animals and humans. Brucellosis is one of the most common zoonotic diseases transmitted from animals-to-human through direct contact with infected animals and also consumption of unpasteurized dairy products.
Marzieh, Rezaei   +4 more
openaire   +2 more sources

T-Cell Epitope Prediction

2017
An epitope is a part of an immunogenic protein that can be recognized by the immune system. The peptides that can be recognized by the T-cell receptors after a particular antigen has been intracellularly processed, bound to at least one MHC molecule and expressed on the surface of the antigen presenting cell as a MHC-peptide complex, are called a T ...
openaire   +2 more sources

Prediction Methods for B-cell Epitopes

2007
In this chapter, two prediction servers of linear B-cell epiotpes have been described; (i) BcePred, based on physico-chemical properties that include hydrophilicity, flexibility/mobility, accessibility, polarity, exposed surface, turns, and antigenicity and ii) ABCpred, based on recurrent neural network.
Sudipto, Saha, Gajendra P S, Raghava
openaire   +2 more sources

Towards in silico prediction of immunogenic epitopes

Trends in Immunology, 2003
As torrents of new data now emerge from microbial genomics, bioinformatic prediction of immunogenic epitopes remains challenging but vital. In silico methods often produce paradoxically inconsistent results: good prediction rates on certain test sets but not others.
openaire   +2 more sources

Bioinformatics Tools for Epitope Prediction

2020
Immunological protection is conferred by immune cells, i.e., B and T cells, which can efficiently develop pathogen-specific memory and thus involved in adaptive immunity. More specifically, these immune cells can recognize a specific portion of their respective antigens termed as epitopes which possess their own significant values.
Mohini Jaiswal   +2 more
openaire   +1 more source

Bioinformatics Tools for the Prediction of T-Cell Epitopes

2018
T-cell responses are activated by specific peptides, called epitopes, presented on the cell surface by MHC molecules. Binding of peptides to the MHC is the most selective step in T-cell antigen presentation and therefore an essential factor in the selection of potential epitopes.
Andreatta, Massimo, Nielsen, Morten
openaire   +3 more sources

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