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).

• 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

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  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

  saccharomyces homo bank computational yeast tandem

• Analysis of protein sequence and interaction data for candidate disease gene prediction.

  PMID 17020920 · PMC1636487 · Nucleic acids research · 2006 · 8 claims · 7 setups

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  Combining CPS and CMP using known disease genes as input achieves sensitivity 0.52 and specificity 0.97, reducing candidate lists 13-fold

  ophid biocarta kegg pfam-annotated common benchmarking multiple-interval

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  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

  genes cancer interpro interactome averaged cross-validation domain

• Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information.

  PMID 15941473 · PMC1164402 · BMC bioinformatics · 2005 · 8 claims · 5 setups

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  A combined linguistic+statistical+rule-based method achieves precision 0.61 and recall 0.97 (f=0.74) detecting yeast protein-protein interactions across 12,300 Medline abstracts.

  yeast yeast-related interaction random dictionary-based manual graph

• 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

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  Combining high protein-interaction network scores with significant PID-related GO terms identifies novel PID candidate genes

  immunome known protein-interaction gene comparative

• Network-assisted protein identification and data interpretation in shotgun proteomics.

  PMID 19690572 · PMC2736651 · Molecular systems biology · 2009 · 7 claims · 7 setups

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  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.

  yeast organs mammary organ shotgun clique-enrichment microarray

• Biocomputing enters its adolescence.

  PMID 15960815 · PMC1175967 · Genome biology · 2005 · 8 claims · 8 setups

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  A 'match augmentation' algorithm efficiently matches structural motifs by prioritizing functionally significant residues, enabling function prediction between evolutionarily unrelated proteins

  bank antibody-antigen yeast genome protein-protein empirical integrative

• VIRGO: computational prediction of gene functions.

  PMID 16845022 · PMC1538839 · Nucleic acids research · 2006 · 8 claims · 6 setups

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  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

  cerevisiae sapiens leave-one-out gene protein-protein

• Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.

  PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 7 claims · 5 setups

  Has reproduction · 62

  A DNN model using the top 34 betweenness-centrality-ranked hub genes predicts bone metastasis with AUC of 92.11% on the GEO validation data.

  breast degs geo tcga gene protein-protein machine

• Filtering high-throughput protein-protein interaction data using a combination of genomic features.

  PMID 15833142 · PMC1127019 · BMC bioinformatics · 2005 · 8 claims · 8 setups

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  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.

  saccharomyces bank caenorhabditis homo yeast mass naive

• Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes.

  PMID 18053250 · PMC2246260 · Genome biology · 2007 · 8 claims · 4 setups

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  Loss-of-function phenotypes in yeast are predictable from a gene's connections in a functional gene network via guilt-by-association.

  saccharomyces guilt-by-association comparison network-guided

• Global sequencing of proteolytic cleavage sites in apoptosis by specific labeling of protein N termini.

  PMID 18722006 · PMC2566540 · Cell · 2008 · 7 claims · 8 setups

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  A subtiligase-based N-terminal biotinylation and enrichment method enables global identification and sequencing of protease cleavage sites in complex mixtures

  jurkat computational immunoblotting structural protein-protein

• Weighted gene co-expression network analysis reveals that CXCL10, IRF7, MX1, RSAD2, and STAT1 are related to the chronic stage of spinal cord injury.

  PMID 34532385 · PMC8421925 · Annals of translational medicine · 2021 · 8 claims · 7 setups

  Has reproduction · 44

  The brown co-expression module (775 genes) is the module most significantly associated with the chronic stage of SCI

  spinal brown sci microarray functional protein-protein

• Cohesin regulates alternative splicing.

  PMID 36857449 · PMC9977177 · Science advances · 2023 · 7 claims · 8 setups

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  Cohesin regulates alternative splicing independently of its effects on transcription.

  hct116rmac hct116 recombinant hek293 bulk rt-pcr proximity

• Discovery and hypothesis generation through bioinformatics.

  PMID 16522224 · PMC1431734 · Genome biology · 2006 · 8 claims · 8 setups

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  Bioinformatics should be used as a tool for discovery and hypothesis generation, not merely to manage biological data

  genome chemokine gene-expression proteins genome-wide phylogenetic microarray

• Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods.

  PMID 34143800 · PMC8213194 · PloS one · 2021 · 7 claims · 6 setups

  Has reproduction · 75

  306 overlapping DEGs (265 up-regulated, 41 down-regulated) were identified across three independent GEO datasets in EOC vs normal ovarian tissue.

  eoc overlapping tcga microarray kegg protein-protein

• The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists.

  PMID 17784955 · PMC2375021 · Genome biology · 2007 · 8 claims · 6 setups

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  Gene-gene functional similarity can be measured using kappa statistics applied to a binary gene-annotation-term matrix built from 14 annotation categories.

  genome protein-protein genes artificial kappa clustering gene

• PlasmoDraft: a database of Plasmodium falciparum gene function predictions based on postgenomic data.

  PMID 18925948 · PMC2605471 · BMC bioinformatics · 2008 · 8 claims · 4 setups

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  Gonna, a supervised k-nearest-neighbor Guilt-By-Association predictor, proposes GO annotations for a gene based on similarity of its transcriptome, proteome, or interactome profile to genes already annotated by GeneDB

  plasmodium genedb-annotated k-nn leave-one-out

• A genome-wide siRNA screen reveals diverse cellular processes and pathways that mediate genome stability.

  PMID 19647519 · PMC2772893 · Molecular cell · 2009 · 8 claims · 6 setups

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  A genome-wide siRNA screen in HeLa cells using γH2AX as a readout identifies genes whose knockdown elevates DNA damage/genome instability

  hela candidate screen genome-wide propidium sirna

• The integrated world of functional genomics.

  PMID 12537543 · PMC151279 · Genome biology · 2003 · 8 claims · 8 setups

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  Integrating chromatin immunoprecipitation (promoter-binding) data with expression data reveals the yeast cell-cycle transcriptional regulatory network, including network motifs such as autoregulation, multi-component loops, and feedforward loops.

  cerevisiae sequenced elegans drosophila chromatin integration comparative