Springer Protocols: Abstract: An Iterative Approach to Class II Predictions

An Iterative Approach to Class II Predictions

By: Ronna Reuben Mallios³

Abstract

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An iterative approach to resolving protein–peptide binding motifs is appropriate when the length of the binding protein is variable and a variety of amino acid residues may successfully occupy multiple positions. This chapter describes an iterative algorithm that first aligns binding peptides of variable lengths and then extracts a quantitative motif from the resulting alignment. Numerous examples are presented to illustrate the utility of the iterative process.

Affiliation(s): (3) Grants and Research Office, Fresno, CA

Book Title: Immunoinformatics: Predicting Immunogenicity In Silico

Series: Methods in Molecular Biology | Volume: 409 | Pub. Date: Jun-21-2007 | Page Range: 341-353 | DOI: 10.1007/978-1-60327-118-9_25

Subject: Immunology

Key Words: binding-motif prediction - iterative algorithms - discriminant analysis

References

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