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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Hierarchical modeling of activation mechanisms in the ABL and EGFR kinase domains: thermodynamic and mechanistic catalysts of kinase activation by cancer mutations.
PMID 19714203 · PMC2722018 · PLoS computational biology · 2009 · 8 claims · 8 setups
Cancer mutations in ABL and EGFR activate kinases via a common multi-stage mechanism involving hydrophobic spine assembly, formation of a Src-like intermediate structure, and cooperative breakage/formation of characteristic salt bridges
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From the gamma-glutamyl cycle to the glycan cycle: a road with many turns and pleasant surprises.
PMID 19840938 · PMC2787308 · The Journal of biological chemistry · 2009 · 8 claims · 8 setups
γ-Glutamyl transpeptidase (GGT) activity in rat liver shows biphasic changes during azo dye-induced hepatocarcinogenesis, mirroring the oncofetal expression pattern of α-fetoprotein
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The field of tissue injury in the lung and airway.
PMID 19138985 · PMC2705781 · Cancer prevention research (Philadelphia, Pa.) · 2008 · 8 claims · 8 setups
Field cancerization and the field of injury reflect molecular changes (genomic, epigenomic, transcriptomic, proteomic) present in histologically normal-appearing tissue distant from and independent of a tumor, throughout the carcinogen-exposed respiratory epithelium
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Phosphoproteomics by mass spectrometry: insights, implications, applications and limitations.
PMID 19929607 · PMC2931417 · Expert review of proteomics · 2009 · 8 claims · 8 setups
Serine/threonine phosphorylation widely functions to modulate protein-protein interactions (PPIs) across signaling systems
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Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.
PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups
CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.