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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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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Alteration of the p53 tumor suppressor gene occurs independently of K-ras activation and more frequently in serous adenocarcinomas than in other common epithelial tumors of the human ovary.
PMID 7852189 · PMC5919385 · Japanese journal of cancer research : Gann · 1994 · 7 claims · 4 setups
p53 gene mutations occur more frequently in serous adenocarcinomas than in other common epithelial ovarian tumors combined
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Association between cyclo-oxygenase-2 overexpression and missense p53 mutations in gastric cancer.
PMID 11161397 · PMC2363738 · British journal of cancer · 2001 · 8 claims · 4 setups
p53 missense mutation is associated with COX-2 overexpression in gastric cancer
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Infrequent involvement of p53 gene mutations in the tumourigenesis of Japanese prostate cancer.
PMID 7691145 · PMC1968625 · British journal of cancer · 1993 · 6 claims · 3 setups
p53 gene mutations are infrequent in the tumorigenesis of primary Japanese prostate cancer
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p53 as a potential predictive factor of response to chemotherapy: feasibility of p53 assessment using a functional test in yeast from trucut biopsies in breast cancer patients.
PMID 11875738 · PMC2375302 · British journal of cancer · 2002 · 8 claims · 6 setups
p53 status can be reliably determined by yeast functional assay from single frozen sections of trucut biopsies
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Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.
PMID 19756158 · PMC2742196 · PLoS computational biology · 2009 · 8 claims · 4 setups
MIP active learning is a novel active learning method that preferentially seeks informative Positive (functionally active) examples rather than only maximizing classifier accuracy.
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Science star over Asia.
PMID 16149850 · PMC1201306 · PLoS biology · 2005 · 8 claims · 7 setups
Ariff Bongso and associates at Singapore's National University Hospital were the first to derive human embryonic stem cells, from a five-day-old discarded human embryo in 1994, and showed the cells were pluripotent with therapeutic transplant potential.