Through targeted interactions mediated by receptors on
antibodies, B-cells
effectively neutralize invading pathogens by binding with
remarkable precision to
specific molecular regions, called epitopes. This study
focuses on enhancing B
cell epitope predictions via computational methods. Antigen
sequences are
fragmented into peptides and docked against IgE antibodies
to identify top
scoring interactions. Peptides with the highest scores
undergo further analysis to
assess bond interactions. By examining overlapping sequences
within the
antigen model, the positions of predicted epitopes are
determined. Residues
involved in bond interactions are documented for these
overlapping peptide
sequences. Validation is achieved through antigen-antibody
docking studies to
confirm the predicted epitope sites. Ultimately, the
integration of computational
and experimental methodologies holds promise for the
rational design of
immunotherapeutic interventions targeting Birch and Hazel
allergens, paving the
way for precision medicine in allergy treatment.
Author (s) Details
Praveen Kumar Vemuri
Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Green
Fields, Vaddeswaram, Andhra Pradesh, India.
Varshitha Katta
Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Green
Fields, Vaddeswaram, Andhra Pradesh, India.
Anupama Ammulu Manne
Department of Civil Engineering, PVP Siddhartha Institute of Technology,
Kanuru, Vijayawada, Andhra Pradesh, India.
Kanaka Durga Devi Nelluri
KVSR Siddhartha College of Pharmaceutical Sciences, Vijayawada, Andhra Pradesh,
India.
Department of Humanities and Basic Sciences, Aditya University, Surampalem,
Andhra Pradesh, India.
Department of Pharmacy, Mangalayatan University, Jabalpur,
Madhya Pradesh, India.
Please see the link :- https://doi.org/10.9734/bpi/rpmab/v3/187
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