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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Full-text index only
Computational approaches for predicting the biological effect of p53 missense mutations: a comparison of three sequence analysis based methods.
PMID 16522644 · PMC1390679 · Nucleic acids research · 2006 · 7 claims · 6 setups
Align-GVGD predicts loss of transactivation activity with high specificity (~88%) but lower sensitivity (67.9-71.2%) for neutral mutants
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Has reproduction · 67
Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility.
PMID 26969729 · PMC4812528 · Molecular systems biology · 2016 · 7 claims · 6 setups
Cell adhesion (cell-cell and cell-ECM) pathways are significantly and consistently dysregulated in women who develop familial breast cancer across multiple omic data types and tissues.
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Has reproduction · 74
Software JimenaE allows efficient dynamic simulations of Boolean networks, centrality and system state analysis.
PMID 36725967 · PMC9892028 · Scientific reports · 2023 · 8 claims · 4 setups
JimenaE simulates Boolean networks dynamically and systematically calculates all system states rather than heuristically as SQUAD does.
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Full-text index only
Expression genomics in breast cancer research: microarrays at the crossroads of biology and medicine.
PMID 17397520 · PMC1868923 · Breast cancer research : BCR · 2007 · 8 claims · 8 setups
Genome-wide expression microarray studies reveal transcriptional networks/signatures that explain breast cancer biological and clinical heterogeneity
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Has reproduction · 84
A scalable, open-source implementation of a large-scale mechanistic model for single cell proliferation and death signaling.
PMID 35729113 · PMC9213456 · Nature communications · 2022 · 7 claims · 5 setups
Developed a python-based, scalable model creation and simulation pipeline that converts structured text files into an SBML-standard model and is high-performance/cloud-computing ready.