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Basic Characteristics of Mutations
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Mutation Site
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Y181C |
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Mutation Site Sentence
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This finding agreed with our computational predictions when Y181C was at the major anchor site P2, suggesting the potential relevance of our approach. |
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Mutation Level
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Amino acid level |
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Mutation Type
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Nonsynonymous substitution |
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Gene/Protein/Region
|
Gag |
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Standardized Encoding Gene
|
Gag
|
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Genotype/Subtype
|
HIV-1 B;C |
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Viral Reference
|
-
|
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Functional Impact and Mechanisms
|
|
Disease
|
HIV Infections
|
|
Immune
|
Y |
|
Target Gene
|
-
|
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Clinical and Epidemiological Correlations
|
|
Clinical Information
|
- |
|
Treatment
|
NNRTI |
|
Location
|
US;European;South African |
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Literature Information
|
|
PMID
|
40137693
|
|
Title
|
Computational and Population-Based HLA Permissiveness to HIV Drug Resistance-Associated Mutations
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Author
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Mahmud R,Krullaars Z,van Osch J,Rickett D,Brumme ZL,Hensley KS,Rokx C,Gruters RA,van Kampen JJA,Mesplede T
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Journal
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Pathogens (Basel, Switzerland)
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Journal Info
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2025 Feb 20;14(3):207
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Abstract
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The presentation of HIV peptides by the human leukocyte antigen (HLA) complex to CD8+ cytotoxic T-cells (CTLs) is critical to limit viral pathogenesis. HIV can mutate to evade HLA-restricted CTL responses and resist antiretroviral drugs, raising questions about how it balances these evolutionary pressures. Here, we used a computational approach to assess how drug resistance-associated mutations (RAMs) affect the binding of HIV-1 subtype B or C peptides to the most prevalent HLA alleles in US, European, and South African populations. We predict RAMs that may be favored in certain populations and report the under-representation of Y181C in people expressing HLA-B*57:01. This finding agreed with our computational predictions when Y181C was at the major anchor site P2, suggesting the potential relevance of our approach. Overall, our findings lay out a conceptual framework to study the implications of HLA alleles on the emergence of HIV RAMs at the individual and population levels.
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Sequence Data
|
-
|