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).

• Adaptations to climate in candidate genes for common metabolic disorders.

  PMID 18282109 · PMC2242814 · PLoS genetics · 2008 · 8 claims · 7 setups

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  A network-based bioinformatics approach (Molecular Triangulation) was used to select 82 candidate genes belonging to the core subnetwork of metabolic syndrome phenotypes.

  individuals population genic compiled snp spearman bayesian

• The 21st century hepatologist and a systems biology based approach to liver diseases.

  PMID 19026013 · PMC2712824 · Hepatology (Baltimore, Md.) · 2008 · 7 claims · 3 setups

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  Network models covering the majority of an organism's genes can accurately predict phenotypic effects of gene perturbations in multicellular organisms

  caenorhabditis cohorts computational genome-wide whole-genome

• A protein interaction based model for schizophrenia study.

  PMID 19091023 · PMC2638163 · BMC bioinformatics · 2008 · 8 claims · 4 setups

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  Products of 36 schizophrenia candidate genes cluster together into a single connected component within a PPI sub-network of 831 proteins

  proteins clusters brain ppi network gene

• 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

• Disease-aging network reveals significant roles of aging genes in connecting genetic diseases.

  PMID 19779549 · PMC2739292 · PLoS computational biology · 2009 · 8 claims · 8 setups

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  Human disease genes are much closer to aging genes in the PPI network than expected by chance

  protein-protein randomized dan aging network degree-conserved closeness

• The use of edge-betweenness clustering to investigate biological function in protein interaction networks.

  PMID 15740614 · PMC555937 · BMC bioinformatics · 2005 · 8 claims · 7 setups

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  Edge-Betweenness clustering separates protein interaction graphs into subgraphs whose GO term distributions show significant correlations, revealing biologically meaningful functional modules.

  interaction yeast edge-betweenness chi-squared robustness

• 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

• 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

• Structure of protein interaction networks and their implications on drug design.

  PMID 19876376 · PMC2760708 · PLoS computational biology · 2009 · 8 claims · 6 setups

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  Budding yeast and human PINs are scale-rich and configured as highly optimized tolerance (HOT) networks similar to Internet router-level topology, rather than scale-free networks formed by preferential attachment.

  budding pin yeast protein-protein graph-theoretic gene

• Building disease-specific drug-protein connectivity maps from molecular interaction networks and PubMed abstracts.

  PMID 19649302 · PMC2709445 · PLoS computational biology · 2009 · 7 claims · 4 setups

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  A computational framework can build disease-specific drug-protein connectivity maps by integrating protein interaction networks and PubMed literature mining, without gene expression profiles from drug perturbation experiments

  seed ad-related retrieved combined protein-protein network-based pubmed

• Analysis of protein sequence and interaction data for candidate disease gene prediction.

  PMID 17020920 · PMC1636487 · Nucleic acids research · 2006 · 8 claims · 7 setups

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  Combining CPS and CMP using known disease genes as input achieves sensitivity 0.52 and specificity 0.97, reducing candidate lists 13-fold

  ophid biocarta kegg pfam-annotated common benchmarking multiple-interval

• 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

• A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection.

  PMID 36609152 · PMC9850185 · STAR protocols · 2023 · 5 claims · 5 setups

  Has reproduction · 92

  The protocol identifies genes that are both statistically associated with a phenotype and functionally interconnected in a biological network

  case-control gene-gene fictional familial snp-phenotype gene-level network-guided

• Network-assisted protein identification and data interpretation in shotgun proteomics.

  PMID 19690572 · PMC2736651 · Molecular systems biology · 2009 · 7 claims · 7 setups

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  Confidently identified proteins in a sample form tightly connected sub-networks in the protein interaction network, with significantly higher clustering coefficients than random or topology-matched random sub-networks.

  yeast organs mammary organ shotgun clique-enrichment microarray

• 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

• Network of Cancer Genes: a web resource to analyze duplicability, orthology and network properties of cancer genes.

  PMID 19906700 · PMC2808873 · Nucleic acids research · 2010 · 7 claims · 4 setups

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  NCG is a web database integrating duplicability, orthology, evolutionary appearance, and network topology data for 736 human cancer genes

  cancer proteome pten genome orthology protein-protein

• Detecting tipping points of complex diseases by network information entropy.

  PMID 38960408 · PMC11221888 · Briefings in bioinformatics · 2024 · 8 claims · 4 setups

  Has reproduction · 78

  NIEE can detect critical states or tipping points in diverse data types, including bulk and single-sample expression data

  real stringdb individual genes network background sample-specific

• Network Controllability Reveals Key Mitigation Points for Tumor-Promoting Signaling in Tumor-Educated Platelets.

  PMID 41226816 · PMC12609506 · International journal of molecular sciences · 2025 · 8 claims · 6 setups

  Has reproduction · 84

  TEPs in NSCLC show 111 upregulated and 108 downregulated genes versus non-cancer control platelets, enriched in ECM interaction, cytoskeleton, immune signaling, and platelet activation pathways.

  platelets degs platelet tep bulk pathway k-means

• Identification of the proliferation/differentiation switch in the cellular network of multicellular organisms.

  PMID 17166053 · PMC1664705 · PLoS computational biology · 2006 · 8 claims · 8 setups

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  Integrating interactome and transcriptome data reveals a pair of transcriptionally anticorrelated network modules (P and D) each comprising hundreds of genes, present across individuals and species.

  postmortem genes gene proteins microarray protein-protein hierarchical

• 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