Given the peptides (T-cell epitopes) PolyCTLDesigner selects flanking sequences to optimize TAP-binding and joins resulting oligopeptides into a polyepitope in a way providing efficient liberation of potential epitopes by proteasomal and/or immunoproteasomal processing and minimizing the number of junctional epitopes. For constructing polyepitopes PolyCTLDesigner utilizes known amino acid patterns of proteasome cleavage and TAP-binding specificity. PolyCTLDesigner is also able to choose antigenic peptides covering selected HLA repertoire with desired redundancy rate. Given the antigen sequences PolyCTLDesigner is also able to select T-helper epitopes. For predicting T-cell epitopes it uses TEpredict.

Project Activity

See All Activity >

Categories

Bio-Informatics

License

Creative Commons Attribution Non-Commercial License V2.0

Follow PolyCTLDesigner

PolyCTLDesigner Web Site

Other Useful Business Software
Build Data Resilience - Take the Assessment Today Icon
Build Data Resilience - Take the Assessment Today

Can you recover when it matters most? Take this quick assessment to identify gaps and build greater recovery confidence.

Is your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
Take the Assessment
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of PolyCTLDesigner!

Additional Project Details

Intended Audience

Science/Research

Programming Language

Python

Related Categories

Python Bio-Informatics Software

Registered

2012-09-08