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A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

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EpiC: an open resource for exploring epitopes to aid antibody-based experiments.

Niall J Haslam¹, Toby J Gibson

¹European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany. niall@sgenomics.org

Journal of Proteome Research

|May 26, 2010

Summary

Antibodies are essential research tools, but experimental needs challenge their capabilities. A new web resource, EpiC, aids in selecting optimal epitopes for antibody production, supporting future proteomic research.

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Area of Science:

Proteomics and Antibody Research
Bioinformatics and Reagent Development

Background:

Antibodies are critical research tools in biology, enabling sensitive protein identification.
Diverse experimental requirements strain antibody capabilities, necessitating well-characterized affinity reagents.
Growing demand for antibodies, driven by expanding therapeutic targets, highlights the need for improved production tools.

Purpose of the Study:

To address the need for better antibody production tools.
To introduce a freely available web resource for epitope selection and protein characterization.
To support the proteomics community in developing well-characterized affinity reagents.

Main Methods:

Development of a freely available web resource, the Epitope Choice Resource (EpiC).
Integration of bioinformatic tools for up-to-date data on protein epitopes.
Creation of a centralized portal for exploring epitopes on target proteins.

Main Results:

EpiC provides a single web portal for epitope exploration.
The resource connects to various bioinformatic tools for current data.
It facilitates the selection of epitopes for antibody development.

Conclusions:

EpiC supports the proteomics community by aiding in the selection of optimal epitopes.
The resource is crucial for developing well-characterized antibodies for future research.
Accessible tools like EpiC are vital for advancing proteome-scale biology and therapeutic target identification.