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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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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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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Long-range regulation is a major driving force in maintaining genome integrity.
PMID 19682388 · PMC2741452 · BMC evolutionary biology · 2009 · 7 claims · 5 setups
Long-range transcriptional regulation is a major driving force in maintaining genome integrity by constraining where chromosomal breakpoints can become fixed.
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Sequence and structure signatures of cancer mutation hotspots in protein kinases.
PMID 19834613 · PMC2759519 · PloS one · 2009 · 8 claims · 6 setups
Developed CKMD (Composite Kinase Mutation Database), an integrated bioinformatics resource mapping genetic variation in protein kinase genes to sequence, structural, and functional data