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

• Prediction of catalytic residues using Support Vector Machine with selected protein sequence and structural properties.

  PMID 16790052 · PMC1534064 · BMC bioinformatics · 2006 · 8 claims · 7 setups

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  The Sequential Minimal Optimization (SMO) SVM algorithm was the best-performing classifier among 26 WEKA classifiers for predicting catalytic residues

  benchmarking same pirsf pdb supervised wrapper sequence

• Random amino acid mutations and protein misfolding lead to Shannon limit in sequence-structure communication.

  PMID 18769673 · PMC2518838 · PloS one · 2008 · 8 claims · 6 setups

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  The protein sequence-structure map behaves as a noisy digital communication channel whose capacity C exceeds the transmission rate R for native structures, satisfying Shannon's noisy channel theorem

  chains pdbselect25 same single-domain statistical channel negative

• Natural history of S-adenosylmethionine-binding proteins.

  PMID 16225687 · PMC1282579 · BMC structural biology · 2005 · 8 claims · 6 setups

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  The last universal common ancestor (LUCA) of cellular life had between 10 and 20 SAM-binding proteins from at least 5 fold classes

  arabidopsis nicotianamine rossmann-fold cyclopropane psi-blast pdbblast comparative

• 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

• MODBASE, a database of annotated comparative protein structure models and associated resources.

  PMID 18948282 · PMC2686492 · Nucleic acids research · 2009 · 8 claims · 8 setups

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  MODBASE contains 5,152,695 reliable comparative protein structure models for 1,593,209 unique protein sequences.

  sequences chains template chain comparative pairwise ligand

• Columba: an integrated database of proteins, structures, and annotations.

  PMID 15801979 · PMC1087474 · BMC bioinformatics · 2005 · 8 claims · 6 setups

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  COLUMBA physically integrates data from twelve protein structure-related databases (PDB, KEGG, Swiss-Prot, CATH, SCOP, Gene Ontology, ENZYME, etc.) into a single PostgreSQL data warehouse.

  pdb database sequence secondary

• 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

• 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

• Ab initio identification of human microRNAs based on structure motifs.

  PMID 18088431 · PMC2238772 · BMC bioinformatics · 2007 · 8 claims · 7 setups

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  MiRPred predicts miRNA precursors ab initio using only predicted secondary structure motifs, ignoring nucleotide sequence

  genome mirna hairpins chromosome secondary linear five-fold