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).

• nsSNPAnalyzer: identifying disease-associated nonsynonymous single nucleotide polymorphisms.

  PMID 15980516 · PMC1160133 · Nucleic acids research · 2005 · 6 claims · 4 setups

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  nsSNPAnalyzer is a web server that predicts whether a query nsSNP is disease-associated or functionally neutral using a Random Forest classifier combining structural and evolutionary information

  curated homologous structure random structural secondary

• 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

• 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

• How to find soluble proteins: a comprehensive analysis of alpha/beta hydrolases for recombinant expression in E. coli.

  PMID 15804363 · PMC1079826 · BMC genomics · 2005 · 7 claims · 7 setups

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  Predicted solubility in E. coli (via CV-CV') depends on hydrolase size, phylogenetic origin, homologous family, and superfamily

  lipase bacterial small genera cv-cv correlation grouped

• Protein structure quality assessment based on the distance profiles of consecutive backbone Cα atoms.

  PMID 24555103 · PMC3892923 · F1000Research · 2013 · 8 claims · 8 setups

  Has reproduction · 71

  The distance between consecutive backbone Cα atoms in high-quality structures is normally distributed with mean 3.8 Å and standard deviation 0.04 Å, justifying a reference state in which all consecutive Cα atoms are 3.8 Å apart.

  top100h decoys i-tasser non-homologous statistical rdcc comparative