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).

• 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

  Full-text index only

  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

• Timing constraints of in vivo gag mutations during primary HIV-1 subtype C infection.

  PMID 19890401 · PMC2768328 · PloS one · 2009 · 7 claims · 7 setups

  Full-text index only

  Reverse mutations to the wild type (HIV-1C consensus) in Gag appear significantly earlier than escape mutations from the wild type during primary infection

  hiv-1 same sequenced gag single-genome mhc hypermutation

• QuasiFlow: a Nextflow pipeline for analysis of NGS-based HIV-1 drug resistance data.

  PMID 36699347 · PMC9722223 · Bioinformatics advances · 2022 · 6 claims · 8 setups

  Has reproduction · 78

  QuasiFlow is a Nextflow pipeline that runs entirely locally via command-line tools and a local HIVdb database copy to analyze NGS-based HIV-1 drug resistance testing data.

  hiv-1 same paired-end reads ngs-based concordance read

• Candidate vaccine sequences to represent intra- and inter-clade HIV-1 variation.

  PMID 19812689 · PMC2753653 · PloS one · 2009 · 7 claims · 5 setups

  Full-text index only

  Natural CTL immunodominance toward variable proteome regions increases epitope mismatch with challenge strains and recapitulates the escape-driven CTL failure seen in natural infection, contributing to HIV vaccine failure

  hiv-1 polyclonally shannon cross-clade ctl

• Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks.

  PMID 35794110 · PMC9258765 · Nature communications · 2022 · 8 claims · 5 setups

  Has reproduction · 94

  Deep learning (FFNN-SS and CNN-CBLV) enables accurate and fast likelihood-free estimation of epidemiological parameters and model selection from phylogenies

  simulated same hiv-1 simulation-based bayesian maximum-likelihood