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Information Journal Paper

Title

In Silico Prediction of Continuous Epitopes on Human immunoglobulin Light Chains

Pages

  2429-2438

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.

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    Cite

    APA: Copy

    ROHANI, S., & HAJIGHASEMI, F.. (2020). In Silico Prediction of Continuous Epitopes on Human immunoglobulin Light Chains. JOURNAL OF ADVANCED BIOMEDICAL SCIENCES, 10(3 ), 2429-2438. SID. https://sid.ir/paper/415201/en

    Vancouver: Copy

    ROHANI S., HAJIGHASEMI F.. In Silico Prediction of Continuous Epitopes on Human immunoglobulin Light Chains. JOURNAL OF ADVANCED BIOMEDICAL SCIENCES[Internet]. 2020;10(3 ):2429-2438. Available from: https://sid.ir/paper/415201/en

    IEEE: Copy

    S. ROHANI, and F. HAJIGHASEMI, “In Silico Prediction of Continuous Epitopes on Human immunoglobulin Light Chains,” JOURNAL OF ADVANCED BIOMEDICAL SCIENCES, vol. 10, no. 3 , pp. 2429–2438, 2020, [Online]. Available: https://sid.ir/paper/415201/en

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