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).

• Prediction by graph theoretic measures of structural effects in proteins arising from non-synonymous single nucleotide polymorphisms.

  PMID 18654622 · PMC2447880 · PLoS computational biology · 2008 · 8 claims · 5 setups

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  Bongo identifies mutations causing local and global structural effects with a remarkably low false positive rate

  p53 1bpi mutations disease-associated graph correlation structural

• Machine-learning approaches for classifying haplogroup from Y chromosome STR data.

  PMID 18551166 · PMC2396484 · PLoS computational biology · 2008 · 8 claims · 5 setups

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  Y-STR allelic variability is partitioned more by differences among haplogroups than by differences among populations, suggesting Y-STRs carry haplogroup information

  globally same computational publicly y-str snp supervised

• SelTarbase, a database of human mononucleotide-microsatellite mutations and their potential impact to tumorigenesis and immunology.

  PMID 19820113 · PMC2808963 · Nucleic acids research · 2010 · 7 claims · 6 setups

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  SelTarbase is a curated relational database of published mononucleotide-repeat mutation data from MSI-H human colorectal, gastric, endometrial tumors and colon cancer cell lines.

  msi-h aggregated genome mnr sigmoid genome-wide

• Systematic prediction of human membrane receptor interactions.

  PMID 19798668 · PMC3076061 · Proteomics · 2009 · 7 claims · 6 setups

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  Predicting interactions specifically for membrane receptors, rather than deriving them from a general human interactome model, improves prediction performance for these proteins

  cos-1 um-22a hep3b gst-egfr co-immunoprecipitation pulldown binding

• Predicting the pathogenicity of missense variants using features derived from AlphaFold2.

  PMID 37084271 · PMC10203375 · Bioinformatics (Oxford, England) · 2023 · 6 claims · 8 setups

  Has reproduction · 85

  AlphaFold2-derived structural features (solvent accessibility, amino acid network features, physicochemical environment, pLDDT) can be used to train a random forest classifier (AlphScore) that distinguishes proxy-benign from proxy-pathogenic missense variants.

  gnomad alphafold2-predicted alphscore proteins machine secondary physicochemical

• Prediction of candidate primary immunodeficiency disease genes using a support vector machine learning approach.

  PMID 19801557 · PMC2780952 · DNA research : an international journal for rapid publication of reports on genes and genomes · 2009 · 6 claims · 3 setups

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  An SVM trained on 69 binary features of known PID genes can accurately classify PID vs non-PID genes and predict novel candidate PID genes

  genome training svm support leave-one-out sensitivity

• Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning.

  PMID 34575658 · PMC8472680 · Journal of personalized medicine · 2021 · 6 claims · 4 setups

  Has reproduction · 86

  A training gene set of 719 unique upregulated DEGs (subtype-specific) can be used to build ML models that classify TNBC into BLIA, BLIS, MES, and LAR subtypes.

  known tnbc unique unknown gene machine term

• 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

• Coverage of whole proteome by structural genomics observed through protein homology modeling database.

  PMID 17146617 · PMC1769342 · Journal of structural and functional genomics · 2006 · 8 claims · 7 setups

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  FAMSBASE, a homology-modeling database of whole-genome ORFs, currently covers about 50% of predicted ORFs (368,724 of 734,193) across 276 genomes with modeled 3D structures.

  orfs predicted modeled representative homology transmembrane intrinsic

• Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines.

  PMID 18005451 · PMC2216041 · BMC bioinformatics · 2007 · 8 claims · 5 setups

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  Parepro, an SVM-based method integrating three attribute sets (RD, MI, IE) derived from evolutionary and residue-property information, predicts whether an nsSNP is deleterious or neutral.

  sequences target svm benchmark homology

• PA-GOSUB: a searchable database of model organism protein sequences with their predicted Gene Ontology molecular function and subcellular localization.

  PMID 15608166 · PMC540074 · Nucleic acids research · 2005 · 7 claims · 4 setups

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  PA-GOSUB significantly extends the coverage of GO molecular function and subcellular localization annotations for 10 model organism proteomes compared with existing databases (GOA, Swiss-Prot).

  sequences query swiss-prot naive-bayes blast feature

• Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer.

  PMID 38066424 · PMC10709847 · BMC bioinformatics · 2023 · 8 claims · 5 setups

  Has reproduction · 83

  CHCT, a hierarchical classification tool, splits classification of 30 cancer types into ten smaller subproblems using a two-tier architecture to classify primary cancer by methylation profile

  cancer clinical training independent methylation upgma random

• Dyneins across eukaryotes: a comparative genomic analysis.

  PMID 17897317 · PMC2239267 · Traffic (Copenhagen, Denmark) · 2007 · 8 claims · 6 setups

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  Phylogenetic inference identified nine DHC families (two cytoplasmic, seven axonemal) and six IC families (one cytoplasmic)

  predicted dhc non-redundant arabidopsis hmm-based bayesian tblastn

• CanPredict: a computational tool for predicting cancer-associated missense mutations.

  PMID 17537827 · PMC1933186 · Nucleic acids research · 2007 · 8 claims · 7 setups

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  CanPredict is a web application providing public access to a random forest classifier that combines SIFT, LogR.E-value, and GOSS scores to predict whether a missense mutation is cancer-associated

  missense observed sjoblom refseq cross-validation recurrence comparative

• A computational screen for type I polyketide synthases in metagenomics shotgun data.

  PMID 18953415 · PMC2568958 · PloS one · 2008 · 8 claims · 6 setups

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  Combining HMM domain searches with maximum-likelihood phylogenetic trees can discriminate true PKS I sequences from evolutionarily related but functionally different enzymes (e.g., FAS I) in metagenomic data.

  predicted hmm-identified reference hmm hmm maximum-likelihood robinson-foulds

• TRAPID 2.0: a web application for taxonomic and functional analysis of de novo transcriptomes.

  PMID 34197621 · PMC8464036 · Nucleic acids research · 2021 · 8 claims · 8 setups

  Has reproduction · 60

  TRAPID 2.0 is a web application performing global characterization of de novo transcriptomes via structural, functional, and taxonomic annotation in an initial processing phase, followed by an exploratory phase of downstream analyses.

  mmetsp query putative ciliate taxonomic similarity non-coding

• Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational proteomics.

  PMID 18053132 · PMC2254445 · BMC bioinformatics · 2007 · 6 claims · 5 setups

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  The paired oligo-border kernel (POBK) combined with SVMs predicts peptide adsorption/elution in SAX-SPE and retention time in IP-RP-HPLC more accurately than existing methods.

  peptides peptide sax-spe ip-rp-hplc cross-run

• MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features.

  PMID 17553836 · PMC1933124 · Nucleic acids research · 2007 · 8 claims · 8 setups

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  A hybrid feature combining local contiguous triplet structure-sequence composition, MFE of the secondary structure, and P-value of a randomization test improves classification of real vs pseudo pre-miRNAs

  real combined pre-mirna training random independent repeated

• SNAP: predict effect of non-synonymous polymorphisms on function.

  PMID 17526529 · PMC1920242 · Nucleic acids research · 2007 · 7 claims · 8 setups

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  SNAP, a neural network-based method using sequence-derived information, predicts whether a non-synonymous SNP is neutral or non-neutral for protein function

  combined escherichia bacteriophage hiv-1 neural benchmark comparative

• Distribution and effects of nonsense polymorphisms in human genes.

  PMID 18852891 · PMC2561068 · PloS one · 2008 · 8 claims · 8 setups

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  Nonsense SNPs occur at a lower density than nonsynonymous SNPs, indicating stronger purifying selection against premature stop codons than amino acid changes.

  genome genes nonsense snps genome-wide snp codon