Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/66643
metadata.dc.identifier.doi: https://doi.org/10.56042/ijbb.v62i11.17129
Title: Predictive analysis of structural interaction among HIV-1 proteins and Class I MHC molecule: A computational approach for therapeutic target
Authors: Bhaduri, Ankita
Biswas, Balaka
Dey, Soumyadeep
Saha, Mousumi
Sarkar, Agniswar
Keywords: Bioinformatics;Immune response;Molecular modelling;Protein interaction;Viral evasion
Issue Date: Nov-2025
Publisher: NIScPR - CSIR
Abstract: Human immunodeficiency virus type 1 (HIV-1) remains a significant global health challenge because it can impair the host’s immune system and establish long-lasting infections. HIV-1 evades immune detection by modulating major histocompatibility complex class I (MHC-I) molecules, which are essential for presenting viral antigens to cytotoxic T lymphocytes (CTLs). The specific molecular interactions involved in this process remain unclear, which poses a challenge for the advancement of targeted therapies. In this study, we employed a systematic computational approach to explore the structural relationships between selected HIV-1 accessory proteins (nef, tat, rev,vpu) and human MHC-I molecules. Analyses included protein sequences evaluation to identify conserved domains and structural motifs, as well as prediction of secondary structures, transmembrane topology, and 3D-modelling for prediction of potential interaction sites. Structural alignments and molecular docking simulations demonstrated substantial conformational compatibility between HIV-1 proteins and MHC-I molecules, particularly in regions critical for immune modulation. The outcomes of this research provide novel insights into the structural mechanisms that underpin HIV-1-mediated immune evasion. This study identifies protein interfaces and conserved motifs related to MHC-I interference, providing insight for designing antiviral strategies to improve immune recognition and control viral persistence
Page(s): 1198-1210
ISSN: ISSN: 0975-0959 (Online); 0301-1208 (Print)
Appears in Collections:IJBB Vol.62(11) [November 2025]

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