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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Tracing the origin of functional and conserved domains in the human proteome: implications for protein evolution at the modular level.
PMID 17090320 · PMC1654190 · BMC evolutionary biology · 2006 · 8 claims · 5 setups
HHpred (HMM-HMM comparison) detects remote homologs in the human proteome with higher sensitivity than hmmpfam (HMMER), giving 10% more functional domain coverage and 20% higher residue coverage against Pfam-A families.
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pTARGET: a web server for predicting protein subcellular localization.
PMID 16844995 · PMC1538910 · Nucleic acids research · 2006 · 7 claims · 3 setups
pTARGET web server predicts nine distinct subcellular localizations in eukaryotic non-plant proteins using an algorithm based on location-specific Pfam domain occurrence patterns and amino acid composition (AAC)
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What makes species unique? The contribution of proteins with obscure features.
PMID 16859532 · PMC1779552 · Genome biology · 2006 · 7 claims · 8 setups
POFs constitute 18-38% (average 26%) of a typical eukaryotic proteome
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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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InParanoid 7: new algorithms and tools for eukaryotic orthology analysis.
PMID 19892828 · PMC2808972 · Nucleic acids research · 2010 · 8 claims · 7 setups
InParanoid 7 expands the database by an order of magnitude to 100 species, 1.3 million proteins, and 42.7 million pairwise ortholog groups.
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Local combinational variables: an approach used in DNA-binding helix-turn-helix motif prediction with sequence information.
PMID 19651875 · PMC2761287 · Nucleic acids research · 2009 · 8 claims · 7 setups
The LCV approach predicts HTH motifs with 93.29% accuracy, 93.93% sensitivity and 92.66% specificity using only primary sequence information