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Related Experiment Video

Updated: Mar 13, 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

EpicTope: predicting and validating non-disruptive epitope tagging sites.

Joseph Zinski¹, Parnal Joshi^2,3, Henri Chung^2,3

¹Department of Cell and Development Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.

Development (Cambridge, England)

|March 12, 2026

Summary

EpicTope identifies optimal protein sites for epitope tagging, ensuring protein function is maintained. This tool aids in the in vivo identification, tracking, and purification of proteins.

Keywords:

Computational tool Epitope tagging Functional insertion sites Hdac1 Protein engineering Smad5 Zebrafish

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Last Updated: Mar 13, 2026

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Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope

Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope

Published on: March 24, 2017

Area of Science:

Molecular Biology
Biochemistry
Genetics

Background:

Epitope tagging is crucial for in vivo protein analysis.
Identifying optimal tag insertion sites is challenging and impacts protein function.

Purpose of the Study:

To develop EpicTope, a computational tool for predicting ideal epitope tag insertion sites.
To minimize disruption to protein function during epitope tagging.

Main Methods:

EpicTope employs a scoring function considering secondary/tertiary structure, solvent accessibility, and disordered regions.
Validated on zebrafish Smad5 and Hdac1 proteins.

Main Results:

Internally tagged Smad5 and Hdac1 proteins rescued respective mutant zebrafish embryos.
N- and C-terminal tags showed varied success, aligning with EpicTope predictions.
Tagged proteins were accessible for antibody detection via immunofluorescence, Western blotting, and immunoprecipitation.

Conclusions:

EpicTope effectively identifies functional epitope tag insertion sites.
The tool facilitates successful in vivo protein analysis and purification.