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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The two faces of Alba: the evolutionary connection between proteins participating in chromatin structure and RNA metabolism.
PMID 14519199 · PMC328453 · Genome biology · 2003 · 8 claims · 5 setups
Sequence-profile (PSI-BLAST) searches unify archaeal Alba with eukaryotic RNase P/MRP subunits Rpp20/Pop7 and Rpp25, and with the ciliate macronuclear-development protein Mdp2, into a single Alba superfamily.
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Protein co-evolution, co-adaptation and interactions.
PMID 18818697 · PMC2556093 · The EMBO journal · 2008 · 8 claims · 6 setups
The mirrortree method predicts protein-protein interactions by detecting pairs of protein families with similar phylogenetic trees (quantified as Pearson correlation of sequence similarity matrices).
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Has reproduction · 67
Evaluating native-like structures of RNA-protein complexes through the deep learning method.
PMID 36828844 · PMC9958188 · Nature communications · 2023 · 8 claims · 7 setups
DRPScore identifies native-like RNA-protein structures with higher success rates than ITScore-PR, DARS-RNP, and 3dRPC across bound and unbound testing sets.
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Has reproduction · 50
Workflow sharing with automated metadata validation and test execution to improve the reusability of published workflows.
PMID 36810800 · PMC9944229 · GigaScience · 2022 · 8 claims · 5 setups
Yevis is a system that builds a workflow registry which automatically validates and tests workflows prior to publication, ensuring they are 'reusable with confidence'.
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The flexible pocketome engine for structural chemogenomics.
PMID 19727619 · PMC2975493 · Methods in molecular biology (Clifton, N.J.) · 2009 · 8 claims · 8 setups
A comprehensive structural Pocketome combined with ensemble docking enables de novo, structure-based prediction of ligand binding poses and activities for new proteins and new chemical scaffolds.