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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Systems biology of SNPs.
PMID 16820779 · PMC1681509 · Molecular systems biology · 2006 · 8 claims · 2 setups
Co-sets are groups of enzymatic reactions that are perfectly correlated (correlation coefficient of 1) in a reconstructed metabolic network and represent functional modules.
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SNAP predicts effect of mutations on protein function.
PMID 18757876 · PMC2562009 · Bioinformatics (Oxford, England) · 2008 · 8 claims · 3 setups
SNAP is a publicly available web-server implementation predicting functional effects (neutral/non-neutral) of single amino acid substitutions.
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Human synthetic lethal inference as potential anti-cancer target gene detection.
PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups
Targeting the synthetic lethal partner of a gene mutated in cancer selectively damages tumor cells while sparing healthy cells, offering a rationale for anti-cancer drug design
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Analysis of protein sequence and interaction data for candidate disease gene prediction.
PMID 17020920 · PMC1636487 · Nucleic acids research · 2006 · 8 claims · 7 setups
Combining CPS and CMP using known disease genes as input achieves sensitivity 0.52 and specificity 0.97, reducing candidate lists 13-fold
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Structure of protein interaction networks and their implications on drug design.
PMID 19876376 · PMC2760708 · PLoS computational biology · 2009 · 8 claims · 6 setups
Budding yeast and human PINs are scale-rich and configured as highly optimized tolerance (HOT) networks similar to Internet router-level topology, rather than scale-free networks formed by preferential attachment.
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Building disease-specific drug-protein connectivity maps from molecular interaction networks and PubMed abstracts.
PMID 19649302 · PMC2709445 · PLoS computational biology · 2009 · 7 claims · 4 setups
A computational framework can build disease-specific drug-protein connectivity maps by integrating protein interaction networks and PubMed literature mining, without gene expression profiles from drug perturbation experiments
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Has reproduction · 78
Detecting tipping points of complex diseases by network information entropy.
PMID 38960408 · PMC11221888 · Briefings in bioinformatics · 2024 · 8 claims · 4 setups
NIEE can detect critical states or tipping points in diverse data types, including bulk and single-sample expression data
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An analysis of human microRNA and disease associations.
PMID 18923704 · PMC2559869 · PloS one · 2008 · 8 claims · 8 setups
MicroRNAs tend to show similar dysfunctional evidence (both up- or both down-regulated) for diseases within the same disease cluster, and different dysfunctional evidence between different disease clusters.
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Identification of the proliferation/differentiation switch in the cellular network of multicellular organisms.
PMID 17166053 · PMC1664705 · PLoS computational biology · 2006 · 8 claims · 8 setups
Integrating interactome and transcriptome data reveals a pair of transcriptionally anticorrelated network modules (P and D) each comprising hundreds of genes, present across individuals and species.
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Comparative Toxicogenomics Database: a knowledgebase and discovery tool for chemical-gene-disease networks.
PMID 18782832 · PMC2686584 · Nucleic acids research · 2009 · 8 claims · 5 setups
CTD is a manually curated knowledgebase that integrates chemical-gene interactions, chemical-disease relationships, and gene-disease relationships into a chemical-gene-disease triad
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Network properties of complex human disease genes identified through genome-wide association studies.
PMID 19956617 · PMC2779513 · PloS one · 2009 · 7 claims · 6 setups
Complex disease genes are significantly less central (lower degree/closeness, higher eccentricity) in the human interactome than essential and monogenic disease genes, occupying an intermediate niche between monogenic disease genes and non-disease genes
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Has reproduction · 50
Dissecting lncRNA-mRNA competitive regulatory network in human islet tissue exosomes of a type 1 diabetes model reveals exosome miRNA markers.
PMID 36440209 · PMC9682028 · Frontiers in endocrinology · 2022 · 6 claims · 7 setups
lncRNA-mRNA ceRNA networks differ substantially between control and cytokine-treated islet exosomes, sharing lncRNAs more than mRNAs, implying state-dependent regulatory functions
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Has reproduction · 78
Machine learning and free energy clustering reveal PAH protein binding linked to AD risk.
PMID 41953002 · PMC13053772 · iScience · 2026 · 7 claims · 8 setups
An integrated framework of bioinformatics, machine learning, and ΔG clustering can prioritize PAHs for AD-associated neurotoxicity.
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Oligomeric protein structure networks: insights into protein-protein interactions.
PMID 16336694 · PMC1326230 · BMC bioinformatics · 2005 · 8 claims · 6 setups
Interface amino acid clusters identified at Imin=6% correlate well with residues losing accessible surface area (δASA) upon oligomerization
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Ontological visualization of protein-protein interactions.
PMID 15707487 · PMC550656 · BMC bioinformatics · 2005 · 8 claims · 8 setups
Aggregating independently made GO 'protein binding' (IPI) annotations reveals larger, previously undescribed mouse protein-protein interaction networks
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Has reproduction · 76
Bayesian prediction of microbial oxygen requirement.
PMID 26913185 · PMC4743139 · F1000Research · 2013 · 7 claims · 8 setups
A naive Bayesian classifier based on presence/absence of class-associated Pfam-A domains can distinguish three oxygen requirement classes (aerobe, anaerobe, facultative anaerobe) from genome sequence, unlike prior studies that only made pairwise distinctions.
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NetworKIN: a resource for exploring cellular phosphorylation networks.
PMID 17981841 · PMC2238868 · Nucleic acids research · 2008 · 8 claims · 4 setups
NetworKIN integrates consensus substrate motifs with probabilistic network context modelling to predict cellular kinase-substrate relations.
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The Edinburgh human metabolic network reconstruction and its functional analysis.
PMID 17882155 · PMC2013923 · Molecular systems biology · 2007 · 8 claims · 7 setups
EHMN is a high-quality, manually curated human metabolic network combining genome-based and literature-based (EMP) reconstruction, containing nearly 3000 reactions and over 2000 metabolic genes.
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SNAP: predict effect of non-synonymous polymorphisms on function.
PMID 17526529 · PMC1920242 · Nucleic acids research · 2007 · 7 claims · 8 setups
SNAP, a neural network-based method using sequence-derived information, predicts whether a non-synonymous SNP is neutral or non-neutral for protein function
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Identification of candidate disease genes by integrating Gene Ontologies and protein-interaction networks: case study of primary immunodeficiencies.
PMID 19073697 · PMC2632920 · Nucleic acids research · 2009 · 8 claims · 5 setups
Combining high protein-interaction network scores with significant PID-related GO terms identifies novel PID candidate genes