Antibody Engineering Toward Enhancement of Teplizumab Anti-CD۳ Binding Affinity in Type ۱ Diabetes Prevention and Treatment

سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 63

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شناسه ملی سند علمی:

JR_IJDO-17-2_004

تاریخ نمایه سازی: 12 خرداد 1404

چکیده مقاله:

Objective: The monoclonal antibodies with CD۳ target have the potential to change the progression of type ۱ diabetes (T۱D) and enhance the longevity of beta-cell function. The main objective of the study is antibody engineering toward Enhancement of Teplizumab Anti-CD۳ Binding Affinity in T۱D prevention and treatment. Materials and Methods: We aimed at finding the important amino acids of this antibody, and then replaced these amino acids with others to improve their binding affinity, and examine the binding affinity of antibody variants to antigens. In the end, we selected high-affinity variants of the antibody according to results of High Ambiguity Driven biomolecular DOCKing (HADDOCK). Results: Our research indicated that ۱۴ mutated variants were able to enhance the binding characteristics of Ab in comparison to standard antibodies. Conclusion: The altered antibodies could serve as promising options for enhanced affinity binding to antigens, which could affect the specificity and sensitivity of antibodies.

نویسندگان

Fateme Sefid

Department of Medical Genetics, Shahid Sadoughi University of Medical Science, Yazd, Iran. Department of Molecular Medicine,School of Advanced Technologies in Medicine,Shahid Sadoughi University of Medical Sciences, Yazd, Iran. Research Center for Health Technology Assessment and Medical Informatics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Kimia Monshizadeh

Department of Medical Genetics, Shahid Sadoughi University of Medical Science, Yazd, Iran. Research Center for Health Technology Assessment and Medical Informatics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Roya Ghenaatzadeh

Research Center for Health Technology Assessment and Medical Informatics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. Department of lmmunology, Faculty of Medicine, Shahid sadoughi University of Medical Sciences and Health Services, Yazd, Iran.

Zahra Roodgarpour

Research Center for Health Technology Assessment and Medical Informatics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. Department of lmmunology, Faculty of Medicine, Shahid sadoughi University of Medical Sciences and Health Services, Yazd, Iran.

Ghasem Azamirad

Department of Mechanical Engineering, Yazd University, Yazd, Iran.

Hamid Mirhosseini

Research Center for Health Technology Assessment and Medical Informatics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.