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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Regulation of P2X2 receptors by the neuronal calcium sensor VILIP1.
PMID 18922787 · PMC3523710 · Science signaling · 2008 · 8 claims · 8 setups
VILIP1 was identified via a proteomic (GST pull-down) approach as a protein interacting with the P2X2 receptor C-terminal tail
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Filtering high-throughput protein-protein interaction data using a combination of genomic features.
PMID 15833142 · PMC1127019 · BMC bioinformatics · 2005 · 8 claims · 8 setups
A combination of three genomic features (interacting Pfam domains, GO annotations, sequence homology) using naive Bayesian networks predicts true protein-protein interactions with high sensitivity and good specificity.
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Evolutionary trace annotation of protein function in the structural proteome.
PMID 20036248 · PMC2831211 · Journal of molecular biology · 2010 · 8 claims · 7 setups
ET-ranked residue clusters can be used to build 3D templates that predict GO function in enzymes and non-enzymes alike, without prior knowledge of functional mechanism.
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Implementation of a data repository-driven approach for targeted proteomics experiments by multiple reaction monitoring.
PMID 19121650 · PMC2706936 · Journal of proteomics · 2009 · 7 claims · 5 setups
A new MRM worksheet was implemented in The Global Proteome Machine database (GPMDB) that provides all information needed to design MRM transitions based solely on archived observations from previous experiments by other researchers.
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From single cells to whole organisms.
PMID 16420683 · PMC1414103 · Genome biology · 2005 · 8 claims · 8 setups
The genetic-interaction map in S. cerevisiae is roughly four times as complex as the protein-protein interaction map, and genetic interactions do not overlap with physical interactions but instead predict functional neighborhoods
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Prioritization of candidate cancer genes--an aid to oncogenomic studies.
PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups
Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes