Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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Identification and characterization of HLA-A*0301 epitopes in HIV-1 gag proteins using a novel approach.
PMID 19903485 · PMC2836169 · Journal of immunological methods · 2010 · 7 claims · 7 setups
PS mutations V7I and I34L (p17) and K403R (p7) in HIV-1 gag significantly correlate with HLA-A*0301
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Has reproduction · 71
Identification of the shared hub gene signatures and molecular mechanisms between HIV-1 and pulmonary arterial hypertension.
PMID 38528047 · PMC10963360 · Scientific reports · 2024 · 7 claims · 7 setups
HIV-1 and PAH share 109 co-expressed genes primarily enriched in type I interferon (IFN) pathways.
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Identification and recovery of minor HIV-1 variants using the heteroduplex tracking assay and biotinylated probes.
PMID 18948297 · PMC2602764 · Nucleic acids research · 2008 · 6 claims · 8 setups
Incorporating a biotin tag into the HTA probe enables purification of labeled heteroduplexes and direct sequencing of the separated query strand, allowing recovery of minor variant sequences
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Evidence for limited genetic compartmentalization of HIV-1 between lung and blood.
PMID 19759830 · PMC2736399 · PloS one · 2009 · 8 claims · 7 setups
Statistical evidence of genetic compartmentalization between lung and blood HIV-1 env sequences was found in 10 of 18 subjects.
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Synonymous substitution rates predict HIV disease progression as a result of underlying replication dynamics.
PMID 17305421 · PMC1797821 · PLoS computational biology · 2007 · 8 claims · 8 setups
The synonymous substitution rate (dS) of HIV env is strongly correlated with disease progression parameters (progression time, CD4+ decline rate, viral load increase rate), unlike the nonsynonymous rate (dN).
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Has reproduction · 80
Progressive transformation of the HIV-1 reservoir cell profile over two decades of antiviral therapy.
PMID 36596305 · PMC9839361 · Cell host & microbe · 2023 · 8 claims · 7 setups
After long-term ART, intact HIV-1 proviruses are predominantly integrated in heterochromatin locations, most prominently centromeric satellite/micro-satellite DNA.
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Dual and recombinant infections: an integral part of the HIV-1 epidemic in Brazil.
PMID 10081673 · PMC2627691 · Emerging infectious diseases · 1999 · 8 claims · 8 setups
Among 79 HIV-1 infected patients, 3 (3.8%) had dual infections, 6 (7.6%) had recombinant infections, and 70 (88.6%) had single-subtype infections
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Lost in the world of functional genomics, systems biology, and translational research: is there life after the Milstein award?
PMID 17681845 · PMC1994668 · Cytokine & growth factor reviews · 2007 · 8 claims · 8 setups
Genomic and proteomic approaches provide a comprehensive view of virus-host interactions and advance understanding of innate immunity and interferon/cytokine signaling
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Application of two machine learning algorithms to genetic association studies in the presence of covariates.
PMID 19014573 · PMC2620353 · BMC genetics · 2008 · 8 claims · 3 setups
The relative performance of RF and MARS for detecting genotype-trait associations depends on both the strategy used to handle covariates and the true underlying model of association (e.g., confounding vs. mediation vs. interaction).
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Antigenic diversity, transmission mechanisms, and the evolution of pathogens.
PMID 19847288 · PMC2759524 · PLoS computational biology · 2009 · 8 claims · 3 setups
Three distinct infection types (A, B, C) emerge as maxima in the pathogen fitness landscape, each with characteristic within-host dynamics, contact network structure, and transmission mode
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Systems biology and the host response to viral infection.
PMID 18066032 · PMC7097743 · Nature biotechnology · 2007 · 8 claims · 8 setups
Systems biology integration of 'omics data (transcriptomics, proteomics, genomics) with computational modeling is needed to fully understand virus-host interactions and identify novel antiviral targets