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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Opportunities and challenges in synthetic oligosaccharide and glycoconjugate research.
PMID 20161474 · PMC2794050 · Nature chemistry · 2009 · 8 claims · 7 setups
A parallel combinatorial one-pot multi-step protecting-group procedure (Lewis acid catalyzed, up to seven steps) can transform tetra-O-TMS glucopyranosides into differentially protected monosaccharide building blocks without intermittent work-up/purification
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Calibrating tissue level PDE models of ligand dynamics using single cell and spatial transcriptomics data.
PMID 41714655 · PMC13039149 · NPJ systems biology and applications · 2026 · 8 claims · 8 setups
scRNA-seq and spatial transcriptomics data provide a rich, underused source of information for calibrating tissue-scale PDE models of ligand dynamics.
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Charting spatial ligand-target activity using Renoir.
PMID 42086556 · PMC13144314 · Nature communications · 2026 · 8 claims · 8 setups
Renoir computes a neighborhood activity score for curated ligand-target pairs at each spatial spot/cell by integrating cell type abundance, cell type-specific mRNA abundance, receptor expression, gene entropy, and mutual information between ligand and target genes.
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Benchmarking tools for deciphering cellular crosstalk in spatially-resolved transcriptomics.
PMID 41952215 · PMC13174004 · Genome biology · 2026 · 8 claims · 5 setups
No prior systematic, quantitative benchmark exists for CCI inference methods specifically developed for spatial transcriptomics across multiple platforms
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MEROPS: the peptidase database.
PMID 19892822 · PMC2808883 · Nucleic acids research · 2010 · 8 claims · 5 setups
MEROPS is a manually curated hierarchical classification of peptidases and protein inhibitors organized into protein species, families, and clans based on sequence and structural homology.
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Chemical genomics: what will it take and who gets to play?
PMID 11423004 · PMC138939 · Genome biology · 2001 · 8 claims · 8 setups
Scaling chemical genetics to a genome-wide 'chemical genomics' requires large, well-funded, multidisciplinary centers that integrate compound libraries, protein resources, automation, and profiling technology, and freely distribute data and reagents.