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).

• SNAP predicts effect of mutations on protein function.

  PMID 18757876 · PMC2562009 · Bioinformatics (Oxford, England) · 2008 · 8 claims · 3 setups

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  SNAP is a publicly available web-server implementation predicting functional effects (neutral/non-neutral) of single amino acid substitutions.

  mutant insulin neural alanine mutation

• Genome bioinformatic analysis of nonsynonymous SNPs.

  PMID 17708757 · PMC1978506 · BMC bioinformatics · 2007 · 8 claims · 8 setups

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  Structure- and sequence-based prediction tools can generally distinguish disease-causing mutations from neutral ones

  gene modelled nssnps automated fold relative

• Genetic variation in an individual human exome.

  PMID 18704161 · PMC2493042 · PLoS genetics · 2008 · 8 claims · 7 setups

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  The ~12,500 nonsilent coding variants in the HuRef exome can be reduced ~8-fold to a set of ~1,600 variants most likely to affect protein function.

  huref genes subset whole-genome allele functional

• 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

• 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