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 · 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 · 100
Topological approximate Bayesian computation for parameter inference of an angiogenesis model.
PMID 35191485 · PMC9048691 · Bioinformatics (Oxford, England) · 2022 · 7 claims · 3 setups
TDA summary statistics can be combined with ABC to infer parameters (ρ, χ) of the Anderson–Chaplain angiogenesis model
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Interaction profile-based protein classification of death domain.
PMID 15189571 · PMC459208 · BMC bioinformatics · 2004 · 7 claims · 6 setups
An SVM-based classifier using Residue Pair Interaction Profiles (RPIPs) can classify death domain superfamily members into subfamilies with 89% average cross-validation accuracy
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Filtering high-throughput protein-protein interaction data using a combination of genomic features.
PMID 15833142 · PMC1127019 · BMC bioinformatics · 2005 · 8 claims · 8 setups
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.
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Gene loss rate: a probabilistic measure for the conservation of eukaryotic genes.
PMID 17158152 · PMC1802574 · Nucleic acids research · 2007 · 8 claims · 8 setups
GLR is a novel maximum-likelihood measure of gene loss rate that probabilistically weighs all possible ancestral phyletic patterns rather than relying on a single parsimonious reconstruction.
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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.