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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Has reproduction · 100
miRbiom: Machine-learning on Bayesian causal nets of RBP-miRNA interactions successfully predicts miRNA profiles.
PMID 34637468 · PMC8509996 · PloS one · 2021 · 7 claims · 6 setups
RBPs beyond Drosha/DGCR8/Dicer are involved in regulating miRNA biogenesis and explain its spatio-temporal nature
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Full-text index only
Predicting deleterious nsSNPs: an analysis of sequence and structural attributes.
PMID 16630345 · PMC1489951 · BMC bioinformatics · 2006 · 8 claims · 7 setups
Sequence conservation (PSIC score difference) at the nsSNP position is the single most useful attribute for predicting deleterious vs neutral status.
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Has reproduction · 58
Identification of common genetic characteristics of rheumatoid arthritis and major depressive disorder by bioinformatics analysis and machine learning.
PMID 37415981 · PMC10320004 · Frontiers in immunology · 2023 · 7 claims · 8 setups
EAF1, SDCBP and RNF19B are common genetic characteristics (hub genes) shared by RA and MDD
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Has reproduction · 64
Comprehensive bioinformatics analysis and experimental verification identify mitochondrial gene Dgat2 as a novel therapeutic biomarker for myocardial ischemia-reperfusion.
PMID 40510478 · PMC12159077 · Frontiers in endocrinology · 2025 · 8 claims · 8 setups
Dgat2 is a hub mitochondria-related differentially expressed gene (MitoDEG) that can serve as a novel biomarker and therapeutic target in MI/RI
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Full-text index only
Biocomputing enters its adolescence.
PMID 15960815 · PMC1175967 · Genome biology · 2005 · 8 claims · 8 setups
A 'match augmentation' algorithm efficiently matches structural motifs by prioritizing functionally significant residues, enabling function prediction between evolutionarily unrelated proteins