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).
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nsSNPAnalyzer: identifying disease-associated nonsynonymous single nucleotide polymorphisms.
PMID 15980516 · PMC1160133 · Nucleic acids research · 2005 · 6 claims · 4 setups
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
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Has reproduction · 77
Representing and querying disease networks using graph databases.
PMID 27462371 · PMC4960687 · BioData mining · 2016 · 7 claims · 8 setups
Graph databases are well suited for representing biological information that is highly connected, semi-structured, and unpredictable.
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Predicting deleterious nsSNPs: an analysis of sequence and structural attributes.
PMID 16630345 · PMC1489951 · BMC bioinformatics · 2006 · 8 claims · 7 setups
Sequence conservation (PSIC score difference) at the nsSNP position is the single most useful attribute for predicting deleterious vs neutral status.
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SysPIMP: the web-based systematical platform for identifying human disease-related mutated sequences from mass spectrometry.
PMID 19036792 · PMC2686442 · Nucleic acids research · 2009 · 8 claims · 7 setups
SysPIMP is a web-based platform integrating disease mutation databases with X!Tandem and BLAST to identify disease-related mutated proteins from MS results
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Using structural bioinformatics to investigate the impact of non synonymous SNPs and disease mutations: scope and limitations.
PMID 19758473 · PMC2745591 · BMC bioinformatics · 2009 · 8 claims · 8 setups
None of 39 tested structural properties can be used as a sole classification criterion to separate neutral SNPs from disease mutations.
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Prediction of missed cleavage sites in tryptic peptides aids protein identification in proteomics.
PMID 17203985 · PMC2664920 · Journal of proteome research · 2007 · 8 claims · 4 setups
An information-theoretic log-likelihood scoring method can predict experimentally observed missed cleavage sites from amino acid sequence alone with up to 90% accuracy.
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Sequence similarity network reveals common ancestry of multidomain proteins.
PMID 18475320 · PMC2377100 · PLoS computational biology · 2008 · 8 claims · 6 setups
Traditional homology definitions do not capture multidomain evolution; the authors extend the definition to include domain insertion via a common ancestral locus model.
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An SVM-based system for predicting protein subnuclear localizations.
PMID 16336650 · PMC1325059 · BMC bioinformatics · 2005 · 7 claims · 3 setups
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.
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'Genome design' model and multicellular complexity: golden middle.
PMID 17062620 · PMC1635334 · Nucleic acids research · 2006 · 8 claims · 8 setups
Intermediately expressed human genes are the longest genes genome-wide, in both coding and intronic sequence, longer than housekeeping or tissue-specific genes.
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Extraction of human kinase mutations from literature, databases and genotyping studies.
PMID 19758464 · PMC2745582 · BMC bioinformatics · 2009 · 7 claims · 6 setups
A literature mining pipeline combining MutationFinder, false-positive filtering, and SVM-based classification can extract and disambiguate single-point mutation mentions from abstracts and full text