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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Genetic drift acts strongly on influenza virus populations within acute human infections but is obscured by other factors within acutely infected swine.
PMID 42027246 · PMC13100903 · Virus evolution · 2026 · 8 claims · 4 setups
Within-host human IAV populations have a very small effective population size (N_E = 49, 95% CI [28, 84])
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The specificity and polymorphism of the MHC class I prevents the global adaptation of HIV-1 to the monomorphic proteasome and TAP.
PMID 18949050 · PMC2569417 · PloS one · 2008 · 6 claims · 5 setups
Within individual hosts, proteasome and TAP escape mutations in HIV-1 occur frequently
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The evolutionary dynamics of a rapidly mutating virus within and between hosts: the case of hepatitis C virus.
PMID 19911046 · PMC2768904 · PLoS computational biology · 2009 · 8 claims · 3 setups
The replication rate of the strain that initiates an infection has a strong effect on the fitness of the infection at the between-host level, even though the virus evolves rapidly within the host.
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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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Transposable elements are driving rapid adaptation of Enterococcus faecium.
PMID 42020750 · PMC13216065 · Nature · 2026 · 8 claims · 8 setups
E. faecium has the highest IS density among ESKAPEE pathogens, dominated by replicative ISL3 family elements
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Has reproduction · 100
Intra-Host Co-Existing Strains of SARS-CoV-2 Reference Genome Uncovered by Exhaustive Computational Search.
PMID 37243151 · PMC10224212 · Viruses · 2023 · 8 claims · 7 setups
An exhaustive-search workflow can recover intra-host co-existing SARS-CoV-2 strains from the reference-genome read set (SRR11092062) that de Bruijn-graph assemblers discard.
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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).