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Related Experiment Video

Updated: Jun 25, 2026

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

Published on: March 25, 2014

Integrating T-cell epitope annotations with sequence and structural information using DAS.

Carmen M Diez-Rivero¹, María García-Boronat, Pedro A Reche

¹ImmuneMedicine Group, Department of Microbiology, Division of Immunology, Facultad de Medicina, Universidad Complutense de Madrid, Ave Complutense, s/n. Madrid 28040, Spain.

|February 25, 2009

Summary

This summary is machine-generated.

Immunoinformatics integrates immune system data using computational tools. This study uses the Distributed Annotation System (DAS) to link epitope data with sequence and structural information for better research.

Keywords:

DAS HLA I annotation epitope

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Area of Science:

Bioinformatics
Immunology
Computational Biology

Background:

Immunoinformatics leverages computational tools for immune system research.
Numerous web-based immunoinformatics resources exist.
Current developments in immunoinformatics are often isolated from mainstream bioinformatics, hindering data exchange.

Purpose of the Study:

To address the need for integration in immunoinformatics.
To facilitate efficient data and annotation exchange within the scientific community.
To integrate in-house annotations of HLA I-restriction elements of CD8 T-cell epitopes with sequence and structural data.

Main Methods:

Utilized the Distributed Annotation System (DAS).
Integrated experimental and predicted HLA I-restriction elements.
Linked epitope data with sequence and structural information.

Main Results:

Successfully integrated diverse immunoinformatics data.
Established a framework for enhanced data sharing and analysis.
Demonstrated the utility of DAS for immunoinformatics resource integration.

Conclusions:

Integration of immunoinformatics resources is crucial for scientific advancement.
The Distributed Annotation System (DAS) provides an effective solution for data integration.
This approach facilitates a more unified and efficient research environment in immunoinformatics.