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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Diet and DNA.
PMID 15174456 · PMC1315985 · Environmental health perspectives · 2004 · 8 claims · 8 setups
The tombusvirus CIRV p19 protein selectively binds short (21-22 nt) silencing siRNAs, using tryptophan residues Trp39 and Trp42 as molecular 'calipers' that stack with the ends of the siRNA duplex
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Has reproduction · 30
Minimal metabolic pathway structure is consistent with associated biomolecular interactions.
PMID 24987116 · PMC4299494 · Molecular systems biology · 2014 · 8 claims · 8 setups
MinSpan, a mixed-integer linear optimization algorithm, computes the shortest, linearly independent pathways (sparsest basis of the null space of the stoichiometric matrix S) for genome-scale metabolic networks, which convex approaches (extreme pathways, elementary flux modes) cannot do at genome scale.
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Harnessing the HGP of public health.
PMID 15176090 · PMC1241998 · Environmental health perspectives · 2004 · 8 claims · 7 setups
The tombusvirus p19 protein selectively recognizes and sequesters short (21-22 nucleotide) silencing siRNAs, discriminating them from longer siRNAs by measuring siRNA length via tryptophan-mediated end-stacking interactions
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International sequencing consortium.
PMID 15174459 · PMC1315987 · Environmental health perspectives · 2004 · 8 claims · 6 setups
The p19 viral silencing-suppressor protein selectively recognizes short (21-22 nt) silencing siRNAs by measuring duplex length, using tryptophan residues (Trp39, Trp42) as molecular calipers that stack against the siRNA end base pairs.
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Shaken not stirred: a global research cocktail served in Hinxton.
PMID 18036269 · PMC2258181 · Genome biology · 2007 · 8 claims · 8 setups
Network-guided reverse genetics using probabilistic functional gene networks (e.g. YeastNet, WormNet) reduces the search space for identifying genes in a given biological process