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).

• 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

• Machine learning and free energy clustering reveal PAH protein binding linked to AD risk.

  PMID 41953002 · PMC13053772 · iScience · 2026 · 7 claims · 8 setups

  Has reproduction · 78

  An integrated framework of bioinformatics, machine learning, and ΔG clustering can prioritize PAHs for AD-associated neurotoxicity.

  proteins microarray ad-associated pahs target differential wgcna

• Identification of common genetic characteristics of rheumatoid arthritis and major depressive disorder by bioinformatics analysis and machine learning.

  PMID 37415981 · PMC10320004 · Frontiers in immunology · 2023 · 7 claims · 8 setups

  Has reproduction · 58

  EAF1, SDCBP and RNF19B are common genetic characteristics (hub genes) shared by RA and MDD

  pbmc intersected candidate wgcna differential kegg

• Advances in genomic and pharmacokinetic profiling for clinical stratification of metastatic breast cancer.

  PMID 41369820 · PMC12799884 · Discover oncology · 2025 · 7 claims · 8 setups

  Has reproduction · 59

  Eight gene modules linked to metastasis were identified via scored network analysis and validated through pathway databases.

  metastatic tcga-brca homo gse40622 gene bulk rt-pcr

• 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

• Sequence variation in G-protein-coupled receptors: analysis of single nucleotide polymorphisms.

  PMID 15784611 · PMC1069129 · Nucleic acids research · 2005 · 7 claims · 8 setups

  Full-text index only

  Position-specific phylogenetic features describing evolutionary conservation at a site (e.g. SIFT score, normalized site entropy, residue frequency change) are the best individual discriminators of disease-causing versus neutral GPCR mutations.

  dbsnp gpcr transmembrane sequence six-frame sift logistic

• 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