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).

• NetworKIN: a resource for exploring cellular phosphorylation networks.

  PMID 17981841 · PMC2238868 · Nucleic acids research · 2008 · 8 claims · 4 setups

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  NetworKIN integrates consensus substrate motifs with probabilistic network context modelling to predict cellular kinase-substrate relations.

  phosphoproteome kinome interactome 53bp1 consensus blastp probabilistic

• Biotin tagging coupled with amino acid-coded mass tagging for efficient and precise screening of interaction proteome in mammalian cells.

  PMID 19834888 · PMC4302342 · Proteomics · 2009 · 7 claims · 7 setups

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  BioCAT (biotin tagging + AACT) enables highly sensitive and accurate single-step screening of mammalian protein-protein interactions without establishing a stable cell line

  293t standard nk92mi list western sds-page nanolc-ms

• 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

• 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

• 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

• Predicting the pathogenicity of missense variants using features derived from AlphaFold2.

  PMID 37084271 · PMC10203375 · Bioinformatics (Oxford, England) · 2023 · 6 claims · 8 setups

  Has reproduction · 85

  AlphaFold2-derived structural features (solvent accessibility, amino acid network features, physicochemical environment, pLDDT) can be used to train a random forest classifier (AlphScore) that distinguishes proxy-benign from proxy-pathogenic missense variants.

  gnomad alphafold2-predicted alphscore proteins machine secondary physicochemical

• SNAP: predict effect of non-synonymous polymorphisms on function.

  PMID 17526529 · PMC1920242 · Nucleic acids research · 2007 · 7 claims · 8 setups

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  SNAP, a neural network-based method using sequence-derived information, predicts whether a non-synonymous SNP is neutral or non-neutral for protein function

  combined escherichia bacteriophage hiv-1 neural benchmark comparative

• Integrative network modeling reveals mechanisms underlying T cell exhaustion.

  PMID 32024856 · PMC7002445 · Scientific reports · 2020 · 8 claims · 6 setups

  Has reproduction · 59

  An integrative, literature-curated and data-driven gene regulatory network underlies CD8+ T cell exhaustion and accurately captures expression states in chronic infection and tumor settings.

  cd8+ tce activated manual gene principal

• Discovering cancer genes by integrating network and functional properties.

  PMID 19765316 · PMC2758898 · BMC medical genomics · 2009 · 8 claims · 6 setups

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  Cancer genes have distinct PPI network topology (higher connectivity, higher clustering coefficient, shorter path length to known cancer genes) compared to non-cancer genes

  genes gene colon ppi pfam term

• SNAP predicts effect of mutations on protein function.

  PMID 18757876 · PMC2562009 · Bioinformatics (Oxford, England) · 2008 · 8 claims · 3 setups

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  SNAP is a publicly available web-server implementation predicting functional effects (neutral/non-neutral) of single amino acid substitutions.

  mutant insulin neural alanine mutation

• 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

• Artificial Intelligence Approach in Machine Learning-Based Modeling and Networking of the Coronavirus Pathogenesis Pathway.

  PMID 40699865 · PMC12191508 · Current issues in molecular biology · 2025 · 8 claims · 8 setups

  Has reproduction

  The coronavirus pathogenesis pathway is activated in SARS-CoV-2-infected iPSC-derived cardiac cells and in SARS-CoV/SARS-CoV-2-infected LUAD cells

  ace2-transfected calu-3 luad ipsc-derived ipa sequencing convolutional

• Oligomeric protein structure networks: insights into protein-protein interactions.

  PMID 16336694 · PMC1326230 · BMC bioinformatics · 2005 · 8 claims · 6 setups

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  Interface amino acid clusters identified at Imin=6% correlate well with residues losing accessible surface area (δASA) upon oligomerization

  non-redundant same known complexes structure hub comparison

• Sequence similarity network reveals common ancestry of multidomain proteins.

  PMID 18475320 · PMC2377100 · PLoS computational biology · 2008 · 8 claims · 6 setups

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  Traditional homology definitions do not capture multidomain evolution; the authors extend the definition to include domain insertion via a common ancestral locus model.

  curated complete well-studied sequence alignment domain

• An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis.

  PMID 36352408 · PMC9648005 · BMC biology · 2022 · 7 claims · 5 setups

  Has reproduction · 84

  A signal transduction/gene regulatory network model of the articular chondrocyte was built combining knowledge-based curation and data-driven (machine learning) network inference

  osteoarthritic articular chondrocyte microarray computational high-throughput

• 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

• 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

• 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

• YANA - a software tool for analyzing flux modes, gene-expression and enzyme activities.

  PMID 15929789 · PMC1175843 · BMC bioinformatics · 2005 · 7 claims · 3 setups

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  YANA integrates METATOOL to provide a graphical, platform-independent front-end for editing, calculating, visualizing, and comparing elementary flux modes, with SBML support.

  redox elementary flux evolutionary

• 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