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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Human synthetic lethal inference as potential anti-cancer target gene detection.
PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups
Targeting the synthetic lethal partner of a gene mutated in cancer selectively damages tumor cells while sparing healthy cells, offering a rationale for anti-cancer drug design
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Structure of protein interaction networks and their implications on drug design.
PMID 19876376 · PMC2760708 · PLoS computational biology · 2009 · 8 claims · 6 setups
Budding yeast and human PINs are scale-rich and configured as highly optimized tolerance (HOT) networks similar to Internet router-level topology, rather than scale-free networks formed by preferential attachment.
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Differences in the evolutionary history of disease genes affected by dominant or recessive mutations.
PMID 16817963 · PMC1534034 · BMC genomics · 2006 · 8 claims · 8 setups
Dominant disease genes are more conserved at the protein level (mouse orthologues) than recessive disease genes.
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Information-based methods for predicting gene function from systematic gene knock-downs.
PMID 18959798 · PMC2596148 · BMC bioinformatics · 2008 · 8 claims · 4 setups
Information-based metrics, which incorporate a phenotype's genomic frequency, outperform non-information-based metrics for detecting gene-gene functional similarity from phenotypic knock-down profiles.
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Betrixaban activates cGAS and ERVs to promote dual nucleic-sensing antiviral immunity.
PMID 41872511 · PMC13179341 · EMBO molecular medicine · 2026 · 7 claims · 8 setups
BT is the first small molecule shown to directly bind and activate cGAS, increasing cGAMP production
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Translating genome sequences into biological understanding.
PMID 12801409 · PMC193614 · Genome biology · 2003 · 8 claims · 7 setups
Gene-trap insertional mutagenesis in mouse ES cells (BayGenomics) generates a large resource of cell lines and knockout mice for studying gene expression patterns and function.
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Contributions from molecular/biochemical approaches in epidemiology to cancer risk assessment and prevention.
PMID 1486845 · PMC1519598 · Environmental health perspectives · 1992 · 8 claims · 8 setups
Genotoxicity of chemicals is a continuous, graded property (agent score) rather than a simple dichotomy of mutagenic vs. nonmutagenic chemicals
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Modeling chromosomes in mouse to explore the function of genes, genomic disorders, and chromosomal organization.
PMID 16839184 · PMC1500809 · PLoS genetics · 2006 · 8 claims · 8 setups
Cre/loxP recombination in ES cells can generate megabase-scale deletions, duplications, and inversions depending on loxP orientation, cis/trans configuration, and cell cycle stage
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Personalized medicine: the future is not what it used to be.
PMID 19958922 · PMC2844719 · Surgery · 2009 · 8 claims · 8 setups
Many rare tumors harbor a genomic Achilles heel that can be exploited for targeted therapy
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The transcription factor EHF promotes the maturation and immunosuppression of conventional dendritic cells.
PMID 41730908 · PMC13039115 · Nature communications · 2026 · 8 claims · 8 setups
EHF orchestrates an immunosuppressive maturation program in cDC1s and cDC2s downstream of TLR7/8/9 sensing of self-nucleic acids
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Secreted phospholipase PLA2G5 acts as a hemolytic factor in sepsis.
PMID 42065235 · PMC13132393 · The Journal of clinical investigation · 2026 · 8 claims · 8 setups
Pla2g5 gene expression is induced in the colon and small intestine during LPS-induced endotoxemia and CLP-induced sepsis in mice
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Exploration of the omics evidence landscape: adding qualitative labels to predicted protein-protein interactions.
PMID 17880677 · PMC2375035 · Genome biology · 2007 · 7 claims · 8 setups
Combining pairs of omics evidence types into two-dimensional 'evidence landscapes' allows regions to be identified that specifically and purely predict either physical or metabolic protein interactions