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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Full-text index only
An SVM-based system for predicting protein subnuclear localizations.
PMID 16336650 · PMC1325059 · BMC bioinformatics · 2005 · 7 claims · 3 setups
New kernels defined on k-peptide vectors mapped by BLOSUM62-based high-scored pair matrices (D1, D2, D3) improve SVM discrimination of protein subnuclear localization compared to conventional k-peptide encodings.
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Has reproduction · 79
Interpretable prediction models for widespread m6A RNA modification across cell lines and tissues.
PMID 37995291 · PMC10697738 · Bioinformatics (Oxford, England) · 2023 · 8 claims · 8 setups
CLSM6A is a set of CNN-based deep learning models that predict single-nucleotide-resolution m6A RNA modification sites across eight cell lines and three tissues in H. sapiens
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Has reproduction · 67
Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites.
PMID 37847658 · PMC10628388 · Bioinformatics (Oxford, England) · 2023 · 8 claims · 6 setups
PSPred-ALE outperforms state-of-the-art SARS-CoV-2 phosphorylation site predictors (e.g. DeepIPs) and handcrafted feature-based methods in benchmarking comparisons
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Has reproduction · 71
Transcriptome and machine learning analysis of the impact of COVID-19 on mitochondria and multiorgan damage.
PMID 38295140 · PMC10830027 · PloS one · 2024 · 6 claims · 7 setups
Potential cardiac, hepatic, and renal impairments in COVID-19 are associated with ACE2, inflammatory cytokine storms, and mitochondrial pathways.
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MtSNPscore: a combined evidence approach for assessing cumulative impact of mitochondrial variations in disease.
PMID 19758471 · PMC2745589 · BMC bioinformatics · 2009 · 8 claims · 5 setups
MtSNPscore, a weighted scoring pipeline combining literature evidence, in silico predictions, and case/control frequency, can prioritize likely pathogenic mtDNA variations