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Impact of subtype C‑specific amino acid variants on HIV‑1 Tat‑TAR interaction: insights from molecular modelling and dynamics

dc.contributor.authorGotora, T. Piwai
dc.contributor.authorKeaghan, Brown
dc.contributor.authorMartin, R. Darius
dc.contributor.authorVan der Sluis, Rencia
dc.contributor.authorCloete, Ruben
dc.contributor.authorMonray E. Williams
dc.date.accessioned2026-01-19T12:37:50Z
dc.date.issued2024
dc.descriptionJournal Article, Faculty of Nartural and Agricultural Science. North--West University
dc.description.abstractBackground HIV-1 produces Tat, a crucial protein for transcription, viral replication, and CNS neurotoxicity. Tat interacts with TAR, enhancing HIV reverse transcription. Subtype C Tat variants (C31S, R57S, Q63E) are associated with reduced transactivation and neurovirulence compared to subtype B. However, their precise impact on Tat-TAR binding is unclear. This study investigates how these substitutions affect Tat-TAR interaction. Methods We utilized molecular modelling techniques, including MODELLER, to produce precise three-dimensional structures of HIV-1 Tat protein variants. We utilized Tat subtype B as the reference or wild type, and generated Tat variants to mirror those amino acid variants found in Tat subtype C. Subtype C-specific amino acid substitutions were selected based on their role in the neuropathogenesis of HIV-1. Subsequently, we conducted molecular docking of each Tat protein variant to TAR using HDOCK, followed by molecular dynamic simulations. Results Molecular docking results indicated that Tat subtype B (TatWt) showed the highest affinity for the TAR element (-262.07), followed by TatC31S (-261.61), TatQ63E (-256.43), TatC31S/R57S/Q63E (-238.92), and TatR57S (-222.24). However, binding free energy analysis showed higher affinities for single variants TatQ63E (-349.2 ± 10.4 kcal/ mol) and TatR57S (-290.0 ± 9.6 kcal/mol) compared to TatWt (-247.9 ± 27.7 kcal/mol), while TatC31S and TatC31S/ R57SQ/63E showed lower values. Interactions over the protein trajectory were also higher for TatQ63E and TatR57S compared to TatWt, TatC31S, and TatC31S/R57SQ/63E, suggesting that modifying amino acids within the Arginine/ Glutamine-rich region notably affects TAR interaction. Single amino acid mutations TatR57S and TatQ63E had a significant impact, while TatC31S had minimal effect. Introducing single amino acid variants from TatWt to a more representative Tat subtype C (TatC31S/R57SQ/63E) resulted in lower predicted binding affinity, consistent with previous findings. Conclusions These identified amino acid positions likely contribute significantly to Tat-TAR interaction and the differential pathogenesis and neuropathogenesis observed between subtype B and subtype C. Additional experimental investigations should prioritize exploring the influence of these amino acid signatures on TAR binding to gain a comprehensive understanding of their impact on viral transactivation, potentially identifying them as therapeutic targets
dc.identifier.citationGotora, T.P. et al. 2024. Impact of subtype C‑specific amino acid variants on HIV‑1 Tat‑TAR interaction: insights from molecular modelling and dynamics. Gotora et al. Virology Journal (2024) 21:144. [https://doi.org/10.1186/s12985-024-02419-6]
dc.identifier.urihttp://hdl.handle.net/10394/45408
dc.language.isoen
dc.publisherElsevier B.V.
dc.subjectHIV-associated neurocognitive disorders
dc.subjectTat polymorphisms
dc.subjectMolecular modelling
dc.subjectMolecular docking
dc.subjectMolecular dynamic simulation
dc.subjectSubtype B
dc.subjectSubtype C
dc.titleImpact of subtype C‑specific amino acid variants on HIV‑1 Tat‑TAR interaction: insights from molecular modelling and dynamics
dc.typeArticle

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