Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1048
Title: | Deciphering evolution of immune recognition in antibodies |
Authors: | Mohanty, Debasisa Sain, Neetu Salunke, Dinakar M. Kaur, Harmeet |
Keywords: | Germline, Mature, Somatic hypermutation, Data science, Antigens, Paratope, Antibody, Simulation, Cluster, Conformation |
Issue Date: | Dec-2018 |
Abstract: | Antibody, the primary effector molecule of the immune system, evolves after initial encounter with the antigen from a precursor form to a mature one to effectively deal with the antigen. Antibodies of a lineage diverge through antigen-directed isolated pathways of maturation to exhibit distinct recognition potential. In the context of evolution in immune recognition, diversity of antigen cannot be ignored. While there are reports on antibody lineage, structural perspective with respect to diverse recognition potential in a lineage has never been studied. Hence, it is crucial to evaluate how maturation leads to topological tailoring within a lineage enabling them to interact with significantly distinct antigens. |
URI: | http://hdl.handle.net/123456789/1048 |
Appears in Collections: | Bioinformatics Centre, Publications |
Files in This Item:
File | Description | Size | Format | |
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12900_2018_Article_96.pdf | 3.6 MB | Adobe PDF | View/Open Request a copy |
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