In Silico Prediction of Continuous Epitopes on Human immunoglobulin Light Chains

Abstract

Background & Objective: Immunoglobulins (Igs) have a vital role in body protection against germs. Igs contain heavy and light chains. Ig light chains consist of two isotypes: Kappa and lambda. Remarkable alterations in kappa to lambda proportion could occur in monoclonal growth of malignant B cells. Anti-human light chain monoclonal antibodies (MAbs) have medical implication in diagnosis and immunotherapy of B-cell proliferative disorders. In current study, prediction of continuous epitopes in constant part of human Ig light chain by immunoinformatics is explained. Materials & Methods: Amino acid sequence and third structure of reference human IgG light chain was obtained in PDB database. Second IgG structure was identified by Phyre 2 software. Continuous epitopes of Ig light chains were delineated by Bepipred and Ellipro software programs. Results: Four continuous epitopes situated to constant domain of human Ig light chain were predicted by Bepipred software. These continuous epitopes were located at amino acid sequences 110-130, 150-160, 160-175 and 180-205 of Ig light chain. The prominent epitope was sited at amino acids 160-175. Also, one continuous epitope situated in 198-203 amino acid sequences was predicted by Ellipro software. Conclusion: In present study several continuous epitopes sited to constant part of human Ig light chain were determined. These epitopes are valuable for making specific monoclonal anti- Ig light chain antibodies and could have plausible implication in generation of specific diagnostic kits for human Ig light chain, monitoring the monoclonal light chain diseases, treatment of associated B cell malignancies and epitope mapping of Ig light chain.

Keywords

• continuous epitope
• immunoglobulins
• light chains
• immunoinformatics