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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Identification of gene interactions associated with disease from gene expression data using synergy networks.
PMID 18234101 · PMC2258206 · BMC systems biology · 2008 · 8 claims · 4 setups
Synergy of a gene pair with respect to disease, defined as I(G1,G2;C) - [I(G1;C)+I(G2;C)], identifies gene pairs that interact cooperatively with respect to a phenotype rather than independently.
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Random amino acid mutations and protein misfolding lead to Shannon limit in sequence-structure communication.
PMID 18769673 · PMC2518838 · PloS one · 2008 · 8 claims · 6 setups
The protein sequence-structure map behaves as a noisy digital communication channel whose capacity C exceeds the transmission rate R for native structures, satisfying Shannon's noisy channel theorem
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Prediction of catalytic residues using Support Vector Machine with selected protein sequence and structural properties.
PMID 16790052 · PMC1534064 · BMC bioinformatics · 2006 · 8 claims · 7 setups
The Sequential Minimal Optimization (SMO) SVM algorithm was the best-performing classifier among 26 WEKA classifiers for predicting catalytic residues
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Correlating novel variable and conserved motifs in the Hemagglutinin protein with significant biological functions.
PMID 18681973 · PMC2553082 · Virology journal · 2008 · 8 claims · 6 setups
14 MEME blocks were identified in the HA protein of H3N2 strains (1968-1999), with blocks 1, 2, 3, and 7 correlating with several biological functions
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Using structural bioinformatics to investigate the impact of non synonymous SNPs and disease mutations: scope and limitations.
PMID 19758473 · PMC2745591 · BMC bioinformatics · 2009 · 8 claims · 8 setups
None of 39 tested structural properties can be used as a sole classification criterion to separate neutral SNPs from disease mutations.