An Immunoinformation Approach of B-Cell Epitope Prediction of Osteoclast-Associated Immunoglobulin-Like Receptor

Osteoclast is such a type of bone cell which is responsible for bone resorption. Osteoclast-associated immunoglobulin-like receptor is a leukocyte receptor complex member as well as a pivotal molecule in the mechanism of osteoclastogenesis which is responsible for osteoclast. As it is threatening for bone purposes; vaccination can be a convenient technique to refrain from the issue. In this recent study, several types of immunoinformatics pathways were wielded to detect efficient B-cell epitopes of human Osteoclast-associated immunoglobulin-like receptors. For the exploration of this, the physicochemical properties, transmembrane region of the human osteoclast-associated immunoglobulin-like receptor were also analyzed. The homology 3D model of the human osteoclast-associated immunoglobulin-like receptor was also developed. Graphical epitopes of B-cell were analyzed by conducting BCPREDS, BepiPred, ABCpred as well as Bcepred. After analyzing the outcomes were validated through surface accessibility, antigenicity, flexibility as well as linear epitope prediction. After analyzing the epitopes some of the accessible B-cell three-dimensional models had been built. This study analysis also disclosed that the most accessible B-cell epitopes are “WGPGVWSPSLVALPGPVVG”, “QRSEVLV”, “FKPGELA”, “YRRPDWGPGVWSQPSPGEIAPLLFRDVSS ELAE”, “REGV AAPL YRHSAQP”, “GVWSQPS”, “PGEIAPL LFRDVSSELAE” as well as “TEELPRPSL” This study analysis can be very helpful for further analysis as well as for the vaccine designation in the realm of osteoclast diagnosis.