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).

• Evolutionary cores of domain co-occurrence networks.

  PMID 15788102 · PMC1079808 · BMC evolutionary biology · 2005 · 8 claims · 4 setups

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  The innermost (globally central) cores of protein domain co-occurrence networks gradually grow in size with increasing evolutionary/developmental complexity of the organism.

  cerevisiae domain weighted comparative

• From single cells to whole organisms.

  PMID 16420683 · PMC1414103 · Genome biology · 2005 · 8 claims · 8 setups

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  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

  saccharomyces caenorhabditis mammalian cylindromatosis automated interference rnai

• Systems biology: where it's at in 2005.

  PMID 16086862 · PMC1273629 · Genome biology · 2005 · 8 claims · 8 setups

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  High-throughput genetic-interaction and physical-interaction maps show only minimal overlap with each other, whereas literature-derived genetic and physical interaction maps share a much greater fraction of edges

  saccharomyces drosophila environmental literature systematic genome-wide

• Filtering high-throughput protein-protein interaction data using a combination of genomic features.

  PMID 15833142 · PMC1127019 · BMC bioinformatics · 2005 · 8 claims · 8 setups

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  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.

  saccharomyces bank caenorhabditis homo yeast mass naive

• Human synthetic lethal inference as potential anti-cancer target gene detection.

  PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups

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  Targeting the synthetic lethal partner of a gene mutated in cancer selectively damages tumor cells while sparing healthy cells, offering a rationale for anti-cancer drug design

  saccharomyces sapiens ihsln genes database phylogenetic gene

• InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale.

  PMID 17868464 · PMC2375030 · Genome biology · 2007 · 8 claims · 8 setups

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  InSite predicts protein-pair-specific binding motifs ('Motif M on protein A binds to protein B') by integrating heterogeneous PPI and motif-motif interaction evidence within a Bayesian network trained by EM

  saccharomyces homo bank computational yeast tandem

• Deducing topology of protein-protein interaction networks from experimentally measured sub-networks.

  PMID 18598366 · PMC2474618 · BMC bioinformatics · 2008 · 7 claims · 6 setups

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  Experimentally measured protein-protein interaction sub-networks are not random samples of their parent networks.

  yeast drosophila networks dppi reanalysis computer repeated

• From linear genome sequence to three-dimensional organization of the cell nucleus.

  PMID 12620101 · PMC153456 · Genome biology · 2003 · 8 claims · 8 setups

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  Chromosome conformation capture (3C) can quantify in vivo physical interaction frequencies between genomic loci by crosslinking, digestion, and intramolecular ligation followed by PCR

  saccharomyces mitotic nucleoplasm hela chromosome translocation stretched

• VIRGO: computational prediction of gene functions.

  PMID 16845022 · PMC1538839 · Nucleic acids research · 2006 · 8 claims · 6 setups

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  VIRGO constructs a functional linkage network (FLN) from gene expression and molecular interaction data, labels genes with GO annotations, and propagates these labels to predict functions of unlabelled genes

  cerevisiae sapiens leave-one-out gene protein-protein

• Organization of physical interactomes as uncovered by network schemas.

  PMID 18949022 · PMC2561054 · PLoS computational biology · 2008 · 7 claims · 5 setups

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  A computational procedure can systematically identify 'emergent' network schemas that are both recurrent and over-represented relative to randomized networks preserving lower-order subschema distributions

  cerevisiae sapiens uncharacterized network cross-species functional

• Integrating proteomic, transcriptional, and interactome data reveals hidden components of signaling and regulatory networks.

  PMID 19638617 · PMC2889494 · Science signaling · 2009 · 8 claims · 6 setups

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  Pathway reconstruction can be modeled as a prize-collecting Steiner tree problem, balancing penalties for excluding terminal nodes against costs for including edges, controlled by a parameter β.

  saccharomyces phosphoproteomic expression curated

• ChIP-seq Data Processing and Relative and Quantitative Signal Normalization for Saccharomyces cerevisiae.

  PMID 40364978 · PMC12067309 · Bio-protocol · 2025 · 8 claims · 6 setups

  Has reproduction · 100

  siQ-ChIP measures absolute protein–DNA interaction (IP efficiency) genome-wide without relying on exogenous spike-in chromatin, overcoming limitations of spike-in normalization.

  cerevisiae pombe concatenated chip-seq chip-seq high-throughput fastq

• Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes.

  PMID 18053250 · PMC2246260 · Genome biology · 2007 · 8 claims · 4 setups

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  Loss-of-function phenotypes in yeast are predictable from a gene's connections in a functional gene network via guilt-by-association.

  saccharomyces guilt-by-association comparison network-guided

• Exploration of the omics evidence landscape: adding qualitative labels to predicted protein-protein interactions.

  PMID 17880677 · PMC2375035 · Genome biology · 2007 · 7 claims · 8 setups

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  Combining pairs of omics evidence types into two-dimensional 'evidence landscapes' allows regions to be identified that specifically and purely predict either physical or metabolic protein interactions

  saccharomyces correlated chip-chip gene

• High-precision mapping of protein protein interfaces: an integrated genetic strategy combining en masse mutagenesis and DNA-level parallel analysis on a yeast two-hybrid platform.

  PMID 17702760 · PMC2018616 · Nucleic acids research · 2007 · 7 claims · 4 setups

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  An integrated strategy combining en masse pentapeptide insertion mutagenesis, yeast two-hybrid screening, and parallel genetic footprinting can map protein-protein interfaces at amino acid precision and is generally applicable to any interacting protein pair.

  saccharomyces plasmid pooled individual yeast pcr-based restriction

• The cohesin complex: sequence homologies, interaction networks and shared motifs.

  PMID 11276426 · PMC30708 · Genome biology · 2001 · 8 claims · 8 setups

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  Mouse Mmip1 and Smc3 (SMCD) share 99% sequence identity and are products of the same gene

  smc1 smc3 mmip1 smc psi-blast phylogenetic sequence

• Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information.

  PMID 15941473 · PMC1164402 · BMC bioinformatics · 2005 · 8 claims · 5 setups

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  A combined linguistic+statistical+rule-based method achieves precision 0.61 and recall 0.97 (f=0.74) detecting yeast protein-protein interactions across 12,300 Medline abstracts.

  yeast yeast-related interaction random dictionary-based manual graph

• Contribution of the C-terminal region within the catalytic core domain of HIV-1 integrase to yeast lethality, chromatin binding and viral replication.

  PMID 19014595 · PMC2615443 · Retrovirology · 2008 · 7 claims · 8 setups

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  IN mutants V165A, A179P and KR186,7AA in the C-terminal region of the catalytic core domain fail to induce the lethal phenotype in HP16 yeast

  saccharomyces hp16 293t cos-7 yeast immunoprecipitation chromatin

• Microbial genomics: from sequence to function.

  PMID 10998380 · PMC2627950 · Emerging infectious diseases · 2000 · 8 claims · 4 setups

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  Whole-genome shotgun sequencing (sequencing and assembly of random genome fragments), first demonstrated with Haemophilus influenzae in 1995, is now the method of choice for sequencing most genomes, including the human genome.

  yeast bacteria microbial high-throughput microarray ribosomal

• The exonuclease Xrn1 activates transcription and translation of mRNAs encoding membrane proteins.

  PMID 30899024 · PMC6428865 · Nature communications · 2019 · 7 claims · 8 setups

  Has reproduction · 85

  Xrn1 promotes translation of a specific group of mRNAs encoding membrane/secretome proteins, acting at translation initiation.

  cerevisiae yeast xrn1∆ western luciferase polysome