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 · 84
Main Factors Influencing the Gut Microbiota of Datong Yaks in Mixed Group.
PMID 35883324 · PMC9312300 · Animals : an open access journal from MDPI · 2022 · 7 claims · 6 setups
Gut microbial diversity (alpha and beta) differs significantly among domestic males, domestic females, and wild male Datong yaks.
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Has reproduction · 64
metaGEM: reconstruction of genome scale metabolic models directly from metagenomes.
PMID 34614189 · PMC8643649 · Nucleic acids research · 2021 · 8 claims · 8 setups
metaGEM enables end-to-end reconstruction of FBA-ready GEMs directly from metagenomes without relying on reference genomes
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Has reproduction · 77
Electroacupuncture reshapes the microbial co-occurrence networks related to the behavioral and psychological symptoms of dementia in Alzheimer's disease.
PMID 41676443 · PMC12806058 · iMetaOmics · 2025 · 6 claims · 7 setups
Electroacupuncture reshapes microbial co-occurrence network topology and drives keystone species in AD-related BPSD, with R. gnavus emerging as a likely keystone species post-intervention.
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targetTB: a target identification pipeline for Mycobacterium tuberculosis through an interactome, reactome and genome-scale structural analysis.
PMID 19099550 · PMC2651862 · BMC systems biology · 2008 · 8 claims · 8 setups
A comprehensive in silico target identification pipeline (targetTB) integrating interactome, reactome, essentiality, sequence and structural analyses can identify high-confidence drug targets for Mtb
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Systems biology in human health and disease.
PMID 17893698 · PMC2013921 · Molecular systems biology · 2007 · 8 claims · 5 setups
High-throughput quantitative proteomics of signaling networks (e.g., HER2 overexpression) can be correlated with biological responses like proliferation and migration to better understand pathways deregulated in cancer.