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).

• Mutational analysis of human CEACAM1: the potential of receptor polymorphism in increasing host susceptibility to bacterial infection.

  PMID 16953805 · PMC1859983 · Cellular microbiology · 2007 · 7 claims · 8 setups

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  Ile-91 is the primary docking residue required for binding of all tested Nm and Hi strains to CEACAM1, despite structural diversity of bacterial ligands

  ceacam1 meningitidis influenzae ha3 homology site-directed receptor

• Comparison of complete nuclear receptor sets from the human, Caenorhabditis elegans and Drosophila genomes.

  PMID 11532213 · PMC55326 · Genome biology · 2001 · 7 claims · 5 setups

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  The human genome contains fewer than 50 functional nuclear receptors, far fewer than C. elegans and about twice as many as Drosophila

  genome elegans genomic panel tblastn hmmer pcr

• The Proteomic Code: a molecular recognition code for proteins.

  PMID 17999762 · PMC2206014 · Theoretical biology & medical modelling · 2007 · 8 claims · 8 setups

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  The Proteomic Code is a set of rules by which genetic information is transferred into the physico-chemical properties of amino acids, determining protein-protein interactions and folding; it is part of the redundant Genetic Code.

  anti-peptide sequence exon smooth radioimmunoassay pairwise genome-wide

• MODBASE, a database of annotated comparative protein structure models and associated resources.

  PMID 18948282 · PMC2686492 · Nucleic acids research · 2009 · 8 claims · 8 setups

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  MODBASE contains 5,152,695 reliable comparative protein structure models for 1,593,209 unique protein sequences.

  sequences chains template chain comparative pairwise ligand

• Mining the draft human genome.

  PMID 11236999 · PMC2658632 · Nature · 2001 · 8 claims · 7 setups

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  Protein-coding exons account for only about 3% of the human genome DNA, with repeat sequences making up around 46%.

  genome unfinished drosophila tetraodon psi-blast domain sequence

• TreeFam: a curated database of phylogenetic trees of animal gene families.

  PMID 16381935 · PMC1347480 · Nucleic acids research · 2006 · 7 claims · 6 setups

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  Tree-based inference of orthologs and paralogs is more robust than BLAST-based methods because evolutionary rates (and thus pairwise BLAST scores) vary across gene family members

  sequences animal treefam-b lamin phylogenetic homology sequence

• Update of the G2D tool for prioritization of gene candidates to inherited diseases.

  PMID 17478516 · PMC1933178 · Nucleic acids research · 2007 · 8 claims · 4 setups

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  G2D is a web server that prioritizes candidate genes for inherited diseases using three distinct algorithms based on different input information.

  genome genomic etrb computational literature go-similarity

• The genome of the ant Tetramorium bicarinatum reveals a tandem organization of venom peptides genes allowing the prediction of their regulatory and evolutionary profiles.

  PMID 38245722 · PMC10800049 · BMC genomics · 2024 · 8 claims · 8 setups

  Has reproduction · 100

  44 venom peptide genes were identified, distributed across four of the eleven chromosomes and organized in tandem repeat clusters.

  tetramorium bicarinatum vpg venom whole-genome blast gene

• Conservation, variability and the modeling of active protein kinases.

  PMID 17912359 · PMC1989141 · PloS one · 2007 · 7 claims · 5 setups

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  A novel sequence-order independent (fold-independent) structural alignment algorithm was developed that maximizes side-chain similarity to produce a consensus kinase structure.

  active-conformation same chak rio2 sequence-order pairwise structural

• Discovery and hypothesis generation through bioinformatics.

  PMID 16522224 · PMC1431734 · Genome biology · 2006 · 8 claims · 8 setups

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  Bioinformatics should be used as a tool for discovery and hypothesis generation, not merely to manage biological data

  genome chemokine gene-expression proteins genome-wide phylogenetic microarray