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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Clustering of phosphorylation site recognition motifs can be exploited to predict the targets of cyclin-dependent kinase.
PMID 17316440 · PMC1852407 · Genome biology · 2007 · 8 claims · 6 setups
CDK consensus motifs are frequently clustered (closely spaced) in known CDK substrate proteins rather than uniformly distributed
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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
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Prediction of specificity-determining residues for small-molecule kinase inhibitors.
PMID 19032760 · PMC2655090 · BMC bioinformatics · 2008 · 8 claims · 5 setups
S-Filter is a novel method combining sequence and structural information (within PFAAT) to predict specificity-determining residues and selectivity profiles for small-molecule kinase inhibitors
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Extraction of human kinase mutations from literature, databases and genotyping studies.
PMID 19758464 · PMC2745582 · BMC bioinformatics · 2009 · 7 claims · 6 setups
A literature mining pipeline combining MutationFinder, false-positive filtering, and SVM-based classification can extract and disambiguate single-point mutation mentions from abstracts and full text
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NetworKIN: a resource for exploring cellular phosphorylation networks.
PMID 17981841 · PMC2238868 · Nucleic acids research · 2008 · 8 claims · 4 setups
NetworKIN integrates consensus substrate motifs with probabilistic network context modelling to predict cellular kinase-substrate relations.
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The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists.
PMID 17784955 · PMC2375021 · Genome biology · 2007 · 8 claims · 6 setups
Gene-gene functional similarity can be measured using kappa statistics applied to a binary gene-annotation-term matrix built from 14 annotation categories.
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Automatic discovery of cross-family sequence features associated with protein function.
PMID 16409628 · PMC1395344 · BMC bioinformatics · 2006 · 8 claims · 6 setups
A self-supervised data mining approach can find relationships between sequence features and functional annotations without preconceived functional categories.