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).
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Has reproduction · 78
Machine learning and free energy clustering reveal PAH protein binding linked to AD risk.
PMID 41953002 · PMC13053772 · iScience · 2026 · 8 claims · 8 setups
PARP1, PTPN1, and ITGA4 are core PAH protein targets identified via PPI network analysis and XGBoost feature selection from AD-associated DEGs
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Has reproduction · 83
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
170 unique human AFB1 targets were identified by merging ChEMBL, SwissTargetPrediction, and PharmMapper predictions
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Has reproduction · 59
Advances in genomic and pharmacokinetic profiling for clinical stratification of metastatic breast cancer.
PMID 41369820 · PMC12799884 · Discover oncology · 2025 · 8 claims · 8 setups
Key genes AR, AKT1, UBC, CDH1, SMAD3, ROR1, and ROR2 are associated with chemotherapy resistance and poor prognosis in metastatic breast cancer
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Has reproduction · 85
Predicting the pathogenicity of missense variants using features derived from AlphaFold2.
PMID 37084271 · PMC10203375 · Bioinformatics (Oxford, England) · 2023 · 6 claims · 8 setups
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.