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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NovelFam3000--uncharacterized human protein domains conserved across model organisms.
PMID 16533400 · PMC1440326 · BMC genomics · 2006 · 8 claims · 7 setups
NovelFam3000 is an online data centre unifying bioinformatics resource links, news, comments, and user-submitted experimental data (including a Gene Characterization Index) for ~3000 uncharacterized Pfam-B/DUF domain families conserved across worm, fly, and human
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InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale.
PMID 17868464 · PMC2375030 · Genome biology · 2007 · 8 claims · 8 setups
InSite predicts protein-pair-specific binding motifs ('Motif M on protein A binds to protein B') by integrating heterogeneous PPI and motif-motif interaction evidence within a Bayesian network trained by EM
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Predicting candidate genes for human deafness disorders: a bioinformatics approach.
PMID 16854223 · PMC1564145 · BMC genomics · 2006 · 8 claims · 4 setups
A bioinformatic approach combining expression databases and protein interaction data narrows ~2400 candidate genes across deafness loci to a manageable set of candidates.
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The dystrobrevin-binding protein 1 gene: features and networks.
PMID 18663367 · PMC2859304 · Molecular psychiatry · 2009 · 8 claims · 6 setups
DTNBP1 gene structure, protein-coding sequence, and dysbindin domain are conserved across 13 vertebrate species, while noncoding sequence is diverse.
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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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Organization of physical interactomes as uncovered by network schemas.
PMID 18949022 · PMC2561054 · PLoS computational biology · 2008 · 7 claims · 5 setups
A computational procedure can systematically identify 'emergent' network schemas that are both recurrent and over-represented relative to randomized networks preserving lower-order subschema distributions
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Prioritization of candidate cancer genes--an aid to oncogenomic studies.
PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups
Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes
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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
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Network-assisted protein identification and data interpretation in shotgun proteomics.
PMID 19690572 · PMC2736651 · Molecular systems biology · 2009 · 7 claims · 7 setups
Confidently identified proteins in a sample form tightly connected sub-networks in the protein interaction network, with significantly higher clustering coefficients than random or topology-matched random sub-networks.
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Biocomputing enters its adolescence.
PMID 15960815 · PMC1175967 · Genome biology · 2005 · 8 claims · 8 setups
A 'match augmentation' algorithm efficiently matches structural motifs by prioritizing functionally significant residues, enabling function prediction between evolutionarily unrelated proteins
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VIRGO: computational prediction of gene functions.
PMID 16845022 · PMC1538839 · Nucleic acids research · 2006 · 8 claims · 6 setups
VIRGO constructs a functional linkage network (FLN) from gene expression and molecular interaction data, labels genes with GO annotations, and propagates these labels to predict functions of unlabelled genes
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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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The role of positive selection in determining the molecular cause of species differences in disease.
PMID 18837980 · PMC2576240 · BMC evolutionary biology · 2008 · 8 claims · 6 setups
Genes predicted to be under positive selection during human evolution are implicated in diseases (epithelial cancers, schizophrenia, autoimmune diseases, Alzheimer's disease) that differ in prevalence and symptomatology between humans and other mammals
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Proteomic analysis of integrin-associated complexes identifies RCC2 as a dual regulator of Rac1 and Arf6.
PMID 19738201 · PMC2857963 · Science signaling · 2009 · 8 claims · 8 setups
A novel ligand-affinity/cross-linking proteomic methodology enables isolation of labile integrin-associated signaling complexes
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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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Has reproduction · 73
Exploring the prognostic and diagnostic value of lactylation-related genes in sepsis.
PMID 39367086 · PMC11452377 · Scientific reports · 2024 · 8 claims · 7 setups
Intersecting sepsis-associated differentially expressed genes with a curated list of 332 lactylation genes yields 55 sepsis-related lactylation genes.
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Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes.
PMID 18053250 · PMC2246260 · Genome biology · 2007 · 8 claims · 4 setups
Loss-of-function phenotypes in yeast are predictable from a gene's connections in a functional gene network via guilt-by-association.
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Spatiotemporal dynamics of spermatogenesis: insights from high-resolution spatial transcriptomics and pseudotime trajectories in mouse testes.
PMID 41602862 · PMC12832764 · Frontiers in reproductive health · 2025 · 8 claims · 7 setups
Salus-STS (1 μm resolution) combined with the Salus Cellbins Algorithm enables accurate subcellular segmentation of individual testicular cells in dense tissue
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Interactome networks: the state of the science.
PMID 16515723 · PMC1431712 · Genome biology · 2006 · 8 claims · 8 setups
Spastin interacts with CHMP1B, an ESCRT-III-associated protein, supporting a role for spastin in intracellular membrane trafficking relevant to hereditary spastic paraplegia
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The functional landscape of alternative splicing in hematopoietic lineage commitment.
PMID 41593078 · PMC12946277 · Nature communications · 2026 · 7 claims · 8 setups
FAScore, a Random Forest model integrating 19 dynamic, structural, and conservation features, predicts functional exon-skipping AS events with high accuracy in a species- and lineage-specific manner.