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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The protein-phosphatome of the human malaria parasite Plasmodium falciparum.
PMID 18793411 · PMC2559854 · BMC genomics · 2008 · 8 claims · 8 setups
P. falciparum possesses 27 putative protein phosphatase sequences across the four major PP families (PPP, PPM, PTP, NIF), plus 7 additional sequences predicted to dephosphorylate non-protein substrates, totaling 34.
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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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L1Base: from functional annotation to prediction of active LINE-1 elements.
PMID 15608246 · PMC539998 · Nucleic acids research · 2005 · 7 claims · 6 setups
L1Base is a database of putatively active LINE-1 insertions in human, mouse and rat genomes, containing FLI-L1s (intact in both ORFs), ORF2-L1s (intact ORF2, disrupted ORF1), and FLnI-L1s (full-length, >6000 bp, non-intact)
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Phylogenetic profiling of the Arabidopsis thaliana proteome: what proteins distinguish plants from other organisms?
PMID 15287975 · PMC507878 · Genome biology · 2004 · 8 claims · 6 setups
3,848 Arabidopsis proteins were identified as likely plant-specific based on phylogenetic profiling and EST confirmation in multiple plant species
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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