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

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