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).

• 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

• Applications for protein sequence-function evolution data: mRNA/protein expression analysis and coding SNP scoring tools.

  PMID 16912992 · PMC1538848 · Nucleic acids research · 2006 · 7 claims · 8 setups

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  PANTHER HMMs built from family/subfamily multiple sequence alignments can classify novel protein sequences into functional groups based on statistically significant HMM match scores

  input gene genome-wide genes sequence gene numerical

• An SVM-based system for predicting protein subnuclear localizations.

  PMID 16336650 · PMC1325059 · BMC bioinformatics · 2005 · 7 claims · 3 setups

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  New kernels defined on k-peptide vectors mapped by BLOSUM62-based high-scored pair matrices (D1, D2, D3) improve SVM discrimination of protein subnuclear localization compared to conventional k-peptide encodings.

  single-localization multi-localization same svm sequence

• 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

• Protein length in eukaryotic and prokaryotic proteomes.

  PMID 15951512 · PMC1150220 · Nucleic acids research · 2005 · 7 claims · 5 setups

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  Eukaryotic proteins are significantly longer than prokaryotic proteins across virtually all functional categories and the majority of protein families

  eukaryotic proteins genomic cog comparative orthology domain

• Boosting accuracy of automated classification of fluorescence microscope images for location proteomics.

  PMID 15207009 · PMC449699 · BMC bioinformatics · 2004 · 8 claims · 8 setups

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  New classifiers (SVMs, ensembles) and new wavelet-derived (Gabor, Daubechies) features improve recognition of protein subcellular location patterns over the previous neural network approach

  hela automated stepwise training-set-size

• SUPERFAMILY--sophisticated comparative genomics, data mining, visualization and phylogeny.

  PMID 19036790 · PMC2686452 · Nucleic acids research · 2009 · 7 claims · 6 setups

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  SUPERFAMILY provides structural, functional and evolutionary annotation for proteins from all completely sequenced genomes using SCOP-based hidden Markov models

  user-submitted query genomes proteins domain profile-profile comparative

• 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

• 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

• 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

• Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information.

  PMID 18588693 · PMC2446391 · BMC bioinformatics · 2008 · 8 claims · 5 setups

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  A decision tree built on 10 selected sequence-derived features classifies SAPs as Disease or Polymorphism with 82.6% accuracy and 0.607 MCC in cross-validation.

  sap sequence-derived humvar same decision independent greedy

• SNP-VISTA: an interactive SNP visualization tool.

  PMID 16336665 · PMC1325058 · BMC bioinformatics · 2005 · 7 claims · 3 setups

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  SNP-VISTA is an interactive Java-based visualization tool with two versions, GeneSNP-VISTA and EcoSNP-VISTA, for exploring large-scale SNP datasets

  abo homologous acid snp multi-species blast-based

• Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer.

  PMID 41688730 · PMC12982753 · Scientific reports · 2026 · 7 claims · 8 setups

  Has reproduction · 83

  Twenty-two genes lie at the intersection of AFB1-predicted targets and breast cancer-associated co-expression modules/DEGs

  afb1 breast training candidate computational bulk weighted

• 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

• Phylogenetic profiling of the Arabidopsis thaliana proteome: what proteins distinguish plants from other organisms?

  PMID 15287975 · PMC507878 · Genome biology · 2004 · 8 claims · 6 setups

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  3,848 Arabidopsis proteins were identified as likely plant-specific based on phylogenetic profiling and EST confirmation in multiple plant species

  arabidopsis phylogenetic tblastn subcellular

• Structural organization and interactions of transmembrane domains in tetraspanin proteins.

  PMID 15985154 · PMC1190194 · BMC structural biology · 2005 · 8 claims · 5 setups

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  TM1, TM2 and TM3 of human tetraspanins display a distinct heptad repeat motif (abcdefg)n, while TM4 lacks this motif.

  tetraspanin cd9 gfp single-cysteine sequence cross-species fluorescence

• Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy.

  PMID 16984653 · PMC1618409 · BMC bioinformatics · 2006 · 8 claims · 6 setups

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  The proposed feature set outperforms existing published feature sets for predicting effects of amino acid substitutions

  coli bacteriophage lac proteins svm simulated pearson

• Identification of 491 proteins in the tear fluid proteome reveals a large number of proteases and protease inhibitors.

  PMID 16901338 · PMC1779605 · Genome biology · 2006 · 8 claims · 4 setups

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  491 proteins were identified in human tear fluid using in-gel digestion and LC-MS/MS/MS3 on LTQ-FT and LTQ-Orbitrap instruments

  closed-eye tear analysis sds-page in-solution gene

• Proteomics of the human malaria parasite Plasmodium falciparum.

  PMID 16445353 · PMC2721975 · Expert review of proteomics · 2006 · 8 claims · 8 setups

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  Completion of the P. falciparum genome sequence together with advances in mass spectrometry has enabled large-scale proteomic analysis of the parasite that was previously limited by inability to identify proteins from 2D gels

  falciparum berghei falciparum-infected mudpit lc-ms co-immunoprecipitation

• 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