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).

• 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

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  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).

  longitudinal backbone env intra-patient relaxed-clock correlation site-to-site

• 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

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  PS mutations V7I and I34L (p17) and K403R (p7) in HIV-1 gag significantly correlate with HLA-A*0301

  hiv-1-infected genomic hiv-1 hla-a*0301 statistical pcr gag

• 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

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  Genomic and proteomic approaches provide a comprehensive view of virus-host interactions and advance understanding of innate immunity and interferon/cytokine signaling

  cd4+ hela influenza-infected liver cdna microarray mass

• Systems biology and the host response to viral infection.

  PMID 18066032 · PMC7097743 · Nature biotechnology · 2007 · 8 claims · 8 setups

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  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

  lung cd4 rhesus kshv microarray quantitative genomic

• Antigenic diversity, transmission mechanisms, and the evolution of pathogens.

  PMID 19847288 · PMC2759524 · PLoS computational biology · 2009 · 8 claims · 3 setups

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  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

  generic simulated hiv-1 stochastic dynamic regression