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).

• 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

• Interaction profile-based protein classification of death domain.

  PMID 15189571 · PMC459208 · BMC bioinformatics · 2004 · 7 claims · 6 setups

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  An SVM-based classifier using Residue Pair Interaction Profiles (RPIPs) can classify death domain superfamily members into subfamilies with 89% average cross-validation accuracy

  homology-modeled death homology putative rigid-body homology model

• Identification of ERGIC-53 as an intracellular transport receptor of alpha1-antitrypsin.

  PMID 18283111 · PMC2265576 · The Journal of cell biology · 2008 · 8 claims · 6 setups

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  α1-antitrypsin is a novel ERGIC-53 cargo protein identified via a YFP protein-fragment complementation assay (PCA) cDNA library screen

  cos-1 hela hepg2 ergic-53 yfp sirna [35s]methionine

• 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

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes

  genes cancer interpro interactome averaged cross-validation domain

• 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

• Biocomputing enters its adolescence.

  PMID 15960815 · PMC1175967 · Genome biology · 2005 · 8 claims · 8 setups

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  A 'match augmentation' algorithm efficiently matches structural motifs by prioritizing functionally significant residues, enabling function prediction between evolutionarily unrelated proteins

  bank antibody-antigen yeast genome protein-protein empirical integrative

• 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

• 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

• Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.

  PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 8 claims · 5 setups

  Has reproduction · 62

  A DNN model built on 34 top-ranked hub genes achieves the highest prediction accuracy (AUC 92.11%) for distinguishing primary from bone-metastasized tumors

  breast degs geo tcga microarray protein-protein machine

• Gene signature discovery and systematic validation across diverse clinical cohorts for TB prognosis and response to treatment.

  PMID 37471455 · PMC10393163 · PLoS computational biology · 2023 · 8 claims · 8 setups

  Has reproduction · 100

  A network-based meta-analysis across studies identifies a common 45-gene signature specific to active TB disease that accounts for cohort/population heterogeneity

  n×m common independent viral blood gene random

• Global sequencing of proteolytic cleavage sites in apoptosis by specific labeling of protein N termini.

  PMID 18722006 · PMC2566540 · Cell · 2008 · 7 claims · 8 setups

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  A subtiligase-based N-terminal biotinylation and enrichment method enables global identification and sequencing of protease cleavage sites in complex mixtures

  jurkat computational immunoblotting structural protein-protein

• 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

• Weighted gene co-expression network analysis reveals that CXCL10, IRF7, MX1, RSAD2, and STAT1 are related to the chronic stage of spinal cord injury.

  PMID 34532385 · PMC8421925 · Annals of translational medicine · 2021 · 8 claims · 7 setups

  Has reproduction · 44

  The brown co-expression module (775 genes) is the module most significantly associated with the chronic stage of SCI

  spinal brown sci microarray functional protein-protein

• Cohesin regulates alternative splicing.

  PMID 36857449 · PMC9977177 · Science advances · 2023 · 7 claims · 8 setups

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  Cohesin regulates alternative splicing independently of its effects on transcription.

  hct116rmac hct116 recombinant hek293 bulk rt-pcr proximity

• 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

• Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods.

  PMID 34143800 · PMC8213194 · PloS one · 2021 · 8 claims · 7 setups

  Has reproduction · 75

  306 overlapping DEGs (265 up-regulated, 41 down-regulated) were identified from three independent GEO microarray datasets comparing EOC and adjacent normal ovarian tissue

  eoc analysis overlapping pubmed microarray kegg protein-protein

• 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

  170 unique human AFB1 targets were identified by merging ChEMBL, SwissTargetPrediction, and PharmMapper predictions

  afb1 breast training candidate computational bulk weighted

• STAT1 and IL-7 as potential diagnostic biomarkers for distinguishing high-grade from low-grade serous ovarian cancer: a multi-cohort analysis.

  PMID 42058211 · PMC13120972 · Frontiers in immunology · 2026 · 8 claims · 7 setups

  Has reproduction · 50

  STAT1 and IL-7 are differentially expressed immune-related genes that can distinguish HGSOC from LGSOC with strong diagnostic performance in the training cohort (AUC 0.908 and 0.842).

  hgsoc dirgs hub stat1 bulk functional protein-protein

• The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists.

  PMID 17784955 · PMC2375021 · Genome biology · 2007 · 8 claims · 6 setups

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  Gene-gene functional similarity can be measured using kappa statistics applied to a binary gene-annotation-term matrix built from 14 annotation categories.

  genome protein-protein genes artificial kappa clustering gene