Structural Stability and Immunogenicity of Peptides
Eva Kranz
TL;DR
This paper explores how peptide folding stability influences immunogenicity, implementing an energy-based stability criterion using AMBER force fields and testing it on a large dataset.
Contribution
It introduces a novel stability criterion based on energy computations to predict peptide immunogenicity, validated with extensive data.
Findings
Peptide stability correlates with immunogenicity.
Energy-based stability criterion effectively predicts immunogenic peptides.
Large dataset validation supports the criterion's robustness.
Abstract
We investigated the role of peptide folding stability in peptide immunogenicity. It was the aim of this thesis to implement a stability criterion based on energy computations using an AMBER force field, and to test the implementation with a large dataset.
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Taxonomy
Topicsvaccines and immunoinformatics approaches · Monoclonal and Polyclonal Antibodies Research · RNA and protein synthesis mechanisms