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Analysis of HBV-Specific CD4 T-cell Responses and Identification of HLA-DR-Restricted CD4 T-Cell Epitopes Based on a Peptide Matrix
Published on: October 20, 2021
Decoding hepatitis B virus mutations that impact host-virus interactions and therapeutics.
Harshni Venkatesan1, Jagadeesh Sai Mahesh, Sangita Venkataraman
1Department of Biotechnology, Anna University, Chennai 600 025, India.
Hepatitis B virus (HBV) mutations were analyzed, revealing significant impacts on protein function and disease progression. Novel therapeutic targets are proposed due to conserved drug-binding sites and emerging resistance.
Area of Science:
- Virology
- Molecular Biology
- Hepatology
Background:
- Hepatitis B virus (HBV) causes chronic infections, liver cirrhosis, and hepatocellular carcinoma (HCC).
- HBV's high mutation rate contributes to disease pathogenesis and treatment challenges.
Purpose of the Study:
- To analyze HBV protein sequences and identify significant mutations (sigmuts).
- To investigate the structural and functional impact of these mutations.
- To explore potential new therapeutic targets for HBV infection.
Main Methods:
- Analysis of 106,970 HBV protein sequences from HBVdb across genotypes A-H.
- Construction of position-specific scoring matrices.
- Screening of 2,658 significant mutations.
- Structural analysis using DynaMut2 and molecular docking.
Main Results:
- Identified 5,058 mutations, with 2,658 significant mutations (sigmuts).
- Genotype A had the most sigmuts; Gen H had the least.
- Core protein sigmuts impact B-cell receptor binding and dimerization.
- RNase H domain sigmuts promote structural disorder, potentially aiding HCC progression.
- Polymerase drug-binding pockets are conserved despite NRTI use.
Conclusions:
- HBV mutations significantly affect protein function and disease progression.
- Conserved polymerase drug-binding sites and emerging resistance necessitate new therapeutic strategies.
- Novel HBV targets are proposed for alternative interventions.
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