Online ISSN: 2515-8260

Keywords : machine learning techniques

In-Silico Insights To Predict The Major Histocompatibility Complex Peptide Binders From Protein

Sonu Mishra; Virendra Gomase

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 2, Pages 219-226

The in-silico method is extensively utilized in the study of proteomics and genomics studies.
The T-cell epitopes prediction is essential step in the development of peptide -based
vaccines and diagnostic. The epitopes emanate as an emanation of intricate proteolytic
mechanism within cell. Proceed to being perceived by T cells, an epitope is presented on
the cell surface as a complex with a major histocompatibility complex protein. Henceforth,
T-Cell identified epitopes are excellent binder of MHC. Therefore detection and
identification of the MHC binders essential for target based study of drug. In recent study,
we analyzed D. medinensis antigenic protein peptide binders to MHC-I and MHC-II
molecules. The binding with MHC-I molecules are obtained with are 11mer_H2_Db,
10mer_H2_Db, 9mer_H2_Db, 8mer_H2_Db and for MHC-II are as I_Ab.p, I_Ad.p,
I_Ag7.p, I_Ak.p .