EpiC: A Resource for Integrating Information and Analyses to Enable Selection of Epitopes for Antibody Based Experiments View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2009

AUTHORS

Niall Haslam , Toby Gibson

ABSTRACT

EpiC is a web resource for choosing epitopes for use in antibody based experiments. It integrates a suite of tools to identify the subsequence of a target protein that a binder interacts with. Where the binder is an antibody this subsequence is termed an epitope, i.e. the region of a protein that an antibody specifically recognises. EpiC is part of the Europe-wide project ProteomeBinders, thats aims to develop a resource of binding molecules for the entire Human Proteome. EpiC has a simple interactive web interface that provides experimentalists with an integrated suite of bioinformatic tools and annotation information. Crucially this neither requires the user to download any specialist software nor develop scripting tools.Given the diversity of applications for affinity reagents, it is important that the resource provides relevant information dependent on the type of experiment being carried out. It is important to note that researchers often require multiple different binders for one protein and different binders for use in different experiments. EpiC achieves access to these wide range of tools using state of the art methods of data integration. Webservices and REST interfaces such as the Distributed Annotation System are used to deliver the information to the user. These ensure that the latest versions of the analysis software and annotation are displayed to the user, relieving the user of the need to keep up to date with the latest databases and software. More... »

PAGES

173-181

Book

TITLE

Data Integration in the Life Sciences

ISBN

978-3-642-02878-6
978-3-642-02879-3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-02879-3_14

DOI

http://dx.doi.org/10.1007/978-3-642-02879-3_14

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042513874


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