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).

• C-terminal mutants of apolipoprotein L-I efficiently kill both Trypanosoma brucei brucei and Trypanosoma brucei rhodesiense.

  PMID 19997494 · PMC2778949 · PLoS pathogens · 2009 · 8 claims · 8 setups

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  The C-terminal helix of apoL1 is entirely responsible for its interaction with SRA

  coli brucei computational papio bacterial trypanolytic nickel-bead

• Reconstruction of human protein interolog network using evolutionary conserved network.

  PMID 17493278 · PMC1885812 · BMC bioinformatics · 2007 · 8 claims · 7 setups

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  A relative conservation score derived from maximal quasi-cliques in protein interaction networks, combined with other interaction features, can score and rank predicted human interologs for confidence.

  ppi sequences interaction predicted interolog orthology quasi-clique

• Extensive transgressive gene expression in testis but not ovary in the homoploid hybrid Italian sparrow.

  PMID 35726533 · PMC9542029 · Molecular ecology · 2022 · 7 claims · 8 setups

  Has reproduction · 93

  Italian sparrow testis exhibits extensive transgressive gene expression relative to both parental species

  testis ovary house differentially bulk gene protein-protein

• Systematic prediction of human membrane receptor interactions.

  PMID 19798668 · PMC3076061 · Proteomics · 2009 · 7 claims · 6 setups

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  Predicting interactions specifically for membrane receptors, rather than deriving them from a general human interactome model, improves prediction performance for these proteins

  cos-1 um-22a hep3b gst-egfr co-immunoprecipitation pulldown binding

• 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

• Inferring a spatial code of cell-cell interactions across a whole animal body.

  PMID 36395331 · PMC9714814 · PLoS computational biology · 2022 · 8 claims · 6 setups

  Has reproduction · 90

  cell2cell computes cell-cell interaction (CCI) potential using a novel modified Bray-Curtis score based on complementary coexpression of ligand-receptor pairs between cells

  elegans computational single-cell random genetic

• 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

• Interactome networks: the state of the science.

  PMID 16515723 · PMC1431712 · Genome biology · 2006 · 8 claims · 8 setups

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  Spastin interacts with CHMP1B, an ESCRT-III-associated protein, supporting a role for spastin in intracellular membrane trafficking relevant to hereditary spastic paraplegia

  genes tnfα orf proteins yeast tandem interference

• 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

• Autoencoder Networks Decipher the Association between Lung Cancer and Alzheimer's Disease.

  PMID 36518809 · PMC9744611 · Computational intelligence and neuroscience · 2022 · 7 claims · 6 setups

  Has reproduction · 74

  Autoencoder networks based on 266 shared DEGs reveal a comorbidity (positive) relationship between Alzheimer's disease and lung cancer.

  brain lung integrated shared microarray differential autoencoder

• 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

• Identification of candidate disease genes by integrating Gene Ontologies and protein-interaction networks: case study of primary immunodeficiencies.

  PMID 19073697 · PMC2632920 · Nucleic acids research · 2009 · 8 claims · 5 setups

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  Combining high protein-interaction network scores with significant PID-related GO terms identifies novel PID candidate genes

  immunome known protein-interaction gene comparative

• A map of human protein interactions derived from co-expression of human mRNAs and their orthologs.

  PMID 18414481 · PMC2387231 · Molecular systems biology · 2008 · 8 claims · 6 setups

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  Comparing human mRNA co-expression with co-expression of orthologous gene pairs in five other organisms identifies proteins that physically associate

  genes hela proteins worm co-expression quantitative functional

• Twin peaks: the draft human genome sequence.

  PMID 11276423 · PMC138909 · Genome biology · 2001 · 8 claims · 8 setups

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  The predicted number of human genes (~26,000-40,000) is far lower than the widely assumed ~100,000, though downstream RNA/protein complexity can still generate substantial biological complexity.

  genome genomic genes yeast whole-genome bac computational

• targetTB: a target identification pipeline for Mycobacterium tuberculosis through an interactome, reactome and genome-scale structural analysis.

  PMID 19099550 · PMC2651862 · BMC systems biology · 2008 · 8 claims · 8 setups

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  A comprehensive in silico target identification pipeline (targetTB) integrating interactome, reactome, essentiality, sequence and structural analyses can identify high-confidence drug targets for Mtb

  tuberculosis mtb protein-protein flux transposon

• A global database for modeling tumor-immune cell communication.

  PMID 37438390 · PMC10338499 · Scientific data · 2023 · 7 claims · 6 setups

  Has reproduction · 66

  TICCom integrates 739 experimentally-validated or manually-curated TIC interactions collected from more than 3,000 literatures

  pubmed scrna-seq tcga basal manual scrna-seq bulk

• Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer.

  PMID 41688730 · PMC12982753 · Scientific reports · 2026 · 7 claims · 8 setups

  Has reproduction · 83

  Twenty-two genes lie at the intersection of AFB1-predicted targets and breast cancer-associated co-expression modules/DEGs

  afb1 breast training candidate computational bulk weighted

• A screen for proteins that interact with PAX6: C-terminal mutations disrupt interaction with HOMER3, DNCL1 and TRIM11.

  PMID 16098226 · PMC1208879 · BMC genetics · 2005 · 8 claims · 7 setups

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  PAX6 interacts with three novel proteins: HOMER3, DNCL1 and TRIM11

  pax6 brain yeast sequence yeast semi-quantitative

• 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

• 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