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Nidheesh Roy T A
University of Calicut, India
ScientificTracks Abstracts: J Immune Disord Ther
Over the past two decades, organ transplantation procedures have become a potential milestone in the field of modern medicine. Even though physiological barriers and technical limitations exist in the process of organ transplantation, the therapeutic breakthroughs happened during the recent years has made this process a historic achievement. Human Leucocyte Antigen (HLA) has been known for its complexity as well as its identity in becoming a protein fingerprint. The lack of a healthy matching donor is one of the major problems faced during renal transplantation. Till this time, the question of what causes graft rejection still possesses a multifaceted answer which leaves the clinicians confused. In general, allo-graft transplantation causes strong immune reaction between a donor and the recipient as both the individuals possess sequentially different HLA. Identification of a single molecular target between such protein complexes like HLA and T Cell Receptor (TCR) could be a breakthrough in transplantation immunology. Use of high-throughput molecular simulation techniques or a highly established protein docking binary systems might be of great use for clinicians as this can lead to reduction in the use of administration of immunosuppressants. The traditional procedures incorporates direct complement depended cell cytotoxicity crossmatching (CDC-cxm) and HLA Typing which still possess its significance in transplantation medicine. Our aim relies on another perspective which targets Eplets. Eplets are those amino acid triplet confirmations which are spatially adjacent but linearly discontinuous. Epitope and Eplet matching has been a great part globally. The analysis of eplet matching after pinpointing the HLA ID of both donor and recipient are performed molecularly as well as computationally. Therefore targeting the identification and matching of each eplets between unrelated individuals may open new avenues in modern medicinal research. Analysis and calculation of antibody–verified eplets can be used to predict the outcome of less matched allo-graft transplants. The method of protein-protein docking can be also implemented to identify the hotspots in HLA which might cause such strong immune reactions.
Nidheesh Roy T. A, has earned appreciable skills in working with human cell lines, membrane protein isolation, CDC-CXM, HLA Typing, HLA Matchmaker and Protein docking. He has acquired good knowledge in computational biology; have used various protein docking softwares for studies related to the ongoing research work. Has a year of teaching experience for post graduate students, which include topics related to both biotechnology as well as general knowledge. Have earned laboratory skills from working in two research labs, microbiology and immunotechnology laboratory, as well as in a sophisticated transplantation immunology and molecular diagnostic facility. Have published two papers as a result of the contributions provided to the previous laboratory. Have a great passion for acquiring knowledge and new skills, effective time-management skills, flawless with computers, expert in Photoshop and Aftereffects, confident level of skills in using OnShape-CAD and high enthusiasm in photography.
E-mail: [email protected]