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).

• Building disease-specific drug-protein connectivity maps from molecular interaction networks and PubMed abstracts.

  PMID 19649302 · PMC2709445 · PLoS computational biology · 2009 · 7 claims · 4 setups

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  A computational framework can build disease-specific drug-protein connectivity maps by integrating protein interaction networks and PubMed literature mining, without gene expression profiles from drug perturbation experiments

  seed ad-related retrieved combined protein-protein network-based pubmed

• Integrated proteomic and transcriptomic profiling of mouse lung development and Nmyc target genes.

  PMID 17486137 · PMC2673710 · Molecular systems biology · 2007 · 8 claims · 7 setups

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  Global MudPIT-based proteomic profiling across six mouse lung developmental time points (E13.5–P56) identifies thousands of proteins and captures developmental/cell-biological expression patterns.

  lung analysis embryonic homologues shotgun microarray k-nearest

• Analysis of protein sequence and interaction data for candidate disease gene prediction.

  PMID 17020920 · PMC1636487 · Nucleic acids research · 2006 · 8 claims · 7 setups

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  Combining CPS and CMP using known disease genes as input achieves sensitivity 0.52 and specificity 0.97, reducing candidate lists 13-fold

  ophid biocarta kegg pfam-annotated common benchmarking multiple-interval

• iRefIndex: a consolidated protein interaction database with provenance.

  PMID 18823568 · PMC2573892 · BMC bioinformatics · 2008 · 6 claims · 3 setups

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  A reproducible key (ROG) for each protein interactor and a corresponding key (RIG) for each interaction record can be generated by anyone using only primary sequence, taxonomy identifier, and the SHA-1 algorithm (SEGUID).

  sequence nine interactor seguid parsing mapping

• Interactome-transcriptome analysis reveals the high centrality of genes differentially expressed in lung cancer tissues.

  PMID 16188928 · PMC4631381 · Bioinformatics (Oxford, England) · 2005 · 7 claims · 4 setups

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  Genes upregulated in squamous cell lung cancer are highly connected (well-connected) nodes in the protein interactome

  squamous ophid degs oligonucleotide interaction connectivity