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).

• Interaction profile-based protein classification of death domain.

  PMID 15189571 · PMC459208 · BMC bioinformatics · 2004 · 7 claims · 6 setups

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  An SVM-based classifier using Residue Pair Interaction Profiles (RPIPs) can classify death domain superfamily members into subfamilies with 89% average cross-validation accuracy

  homology-modeled death homology putative rigid-body homology model

• Predicting deleterious nsSNPs: an analysis of sequence and structural attributes.

  PMID 16630345 · PMC1489951 · BMC bioinformatics · 2006 · 8 claims · 7 setups

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  Sequence conservation (PSIC score difference) at the nsSNP position is the single most useful attribute for predicting deleterious vs neutral status.

  swissprot nssnp-containing nssnps machine single-attribute sequence

• 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

• Interaction preferences across protein-protein interfaces of obligatory and non-obligatory components are different.

  PMID 16105176 · PMC1201154 · BMC structural biology · 2005 · 8 claims · 5 setups

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  Interaction patterns across obligatory and non-obligatory interfaces are different, with obligatory contacts predominantly non-polar

  pdb obligatory same psi-blast solvent residue

• 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

• 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

• Integrated proteomic and transcriptomic profiling of mouse lung development and Nmyc target genes.

  PMID 17486137 · PMC2673710 · Molecular systems biology · 2007 · 8 claims · 7 setups

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  Global MudPIT-based proteomic profiling across six mouse lung developmental time points (E13.5–P56) identifies thousands of proteins and captures developmental/cell-biological expression patterns.

  lung analysis embryonic homologues shotgun microarray k-nearest

• Deducing topology of protein-protein interaction networks from experimentally measured sub-networks.

  PMID 18598366 · PMC2474618 · BMC bioinformatics · 2008 · 7 claims · 6 setups

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  Experimentally measured protein-protein interaction sub-networks are not random samples of their parent networks.

  yeast drosophila networks dppi reanalysis computer repeated

• Disease-aging network reveals significant roles of aging genes in connecting genetic diseases.

  PMID 19779549 · PMC2739292 · PLoS computational biology · 2009 · 8 claims · 8 setups

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  Human disease genes are much closer to aging genes in the PPI network than expected by chance

  protein-protein randomized dan aging network degree-conserved closeness

• Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome.

  PMID 15892868 · PMC1175952 · Genome biology · 2005 · 8 claims · 6 setups

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  Two quantitative benchmarks (functional-annotation-based and physical-interaction-based log likelihood ratio scores) can measure relative accuracy of human PPI datasets

  medline annotated interactions consolidated conditional co-citation bayesian

• What makes species unique? The contribution of proteins with obscure features.

  PMID 16859532 · PMC1779552 · Genome biology · 2006 · 7 claims · 8 setups

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  POFs constitute 18-38% (average 26%) of a typical eukaryotic proteome

  eukaryotic animal cerevisiae homo hmmpfam blast tblastn

• 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

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  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

  orthologous omim meta-database panther comparative disease protein-protein

• Identification of Proteins Deregulated by Platinum-Based Chemotherapy as Novel Biomarkers and Therapeutic Targets in Non-Small Cell Lung Cancer.

  PMID 33777753 · PMC7991912 · Frontiers in oncology · 2021 · 7 claims · 8 setups

  Has reproduction · 81

  Cisplatin exposure induces significant deregulation of protein expression networks in NSCLC cells

  h460 nsclc swath-ms western machine

• 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

• The post-genomic era for a select few.

  PMID 14759254 · PMC395745 · Genome biology · 2004 · 8 claims · 8 setups

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  The Exofish comparative-genomics tool identifies protein-coding DNA segments by comparing two genome sequences and was used to compare pufferfish (Takifugu, Tetraodon) genomes with mammalian genomes, improving annotation of the human and mouse genomes.

  takifugu physcomitrella coli vibrio comparative genetic dna-microarray

• Exploration of the omics evidence landscape: adding qualitative labels to predicted protein-protein interactions.

  PMID 17880677 · PMC2375035 · Genome biology · 2007 · 7 claims · 8 setups

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  Combining pairs of omics evidence types into two-dimensional 'evidence landscapes' allows regions to be identified that specifically and purely predict either physical or metabolic protein interactions

  saccharomyces correlated chip-chip gene

• Transcriptome analysis provides insights into the regulatory function of alternative splicing in antiviral immunity in grass carp (Ctenopharyngodon idella).

  PMID 26248502 · PMC4528194 · Scientific reports · 2015 · 8 claims · 8 setups

  Has reproduction · 70

  AS events, including differentially-expressed-transcript-containing genes (DETs), are ubiquitous in head-kidney and spleen transcriptomes of C. idella

  head-kidney idella assembled il-12p40α rna-seq rt-qpcr pcr

• Refining breast cancer biomarker discovery and drug targeting through an advanced data-driven approach.

  PMID 38253993 · PMC10810249 · BMC bioinformatics · 2024 · 8 claims · 8 setups

  Has reproduction · 59

  The BGWO_SA_Ens algorithm (hybrid BGWO + simulated annealing with an ensemble classifier objective function) selects predictive breast cancer biomarker genes with high classification performance

  merged gse45827 superior differential feature comparative

• Towards the identification of essential genes using targeted genome sequencing and comparative analysis.

  PMID 17052348 · PMC1624830 · BMC genomics · 2006 · 8 claims · 8 setups

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  Phyletic retention (ortholog presence across organisms) is the single most predictive feature of gene essentiality in both E. coli and S. cerevisiae.

  coli cerevisiae comparative machine single-gene

• Integrated analysis of genetic and proteomic data identifies biomarkers associated with adverse events following smallpox vaccination.

  PMID 18923431 · PMC2692715 · Genes and immunity · 2009 · 7 claims · 6 setups

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  A two-stage strategy (Random Forest filtering followed by decision tree modeling) can integrate categorical genetic and continuous proteomic data to identify biomarkers of AE risk

  ebv-transformed serum combined rf-filtered snp serum random