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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Nature of protein family signatures: insights from singular value analysis of position-specific scoring matrices.
PMID 18398479 · PMC2276316 · PloS one · 2008 · 8 claims · 6 setups
The first singular component of a PSSM acts to disfavor substitutions, penalizing potentially functionally important residues at conserved sites more severely.
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Oligomeric protein structure networks: insights into protein-protein interactions.
PMID 16336694 · PMC1326230 · BMC bioinformatics · 2005 · 8 claims · 6 setups
Interface amino acid clusters identified at Imin=6% correlate well with residues losing accessible surface area (δASA) upon oligomerization
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Identification and characterization of HLA-A*0301 epitopes in HIV-1 gag proteins using a novel approach.
PMID 19903485 · PMC2836169 · Journal of immunological methods · 2010 · 7 claims · 7 setups
PS mutations V7I and I34L (p17) and K403R (p7) in HIV-1 gag significantly correlate with HLA-A*0301
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Proteomics in alcohol research.
PMID 12875051 · PMC6683837 · Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism · 2002 · 7 claims · 8 setups
The proteome is larger and more complex than the genome due to differential splicing, post-translational modifications (PTMs), and protein-protein interactions.
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Has reproduction · 87
High-resolution mapping of transcriptional dynamics across tissue development reveals a stable mRNA-tRNA interface.
PMID 25122613 · PMC4216921 · Genome research · 2014 · 8 claims · 7 setups
mRNA codon and amino acid pools are highly stable across mouse development and across tissues, simply reflecting the genomic background distribution of any possible transcriptome.
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Automatic discovery of cross-family sequence features associated with protein function.
PMID 16409628 · PMC1395344 · BMC bioinformatics · 2006 · 8 claims · 6 setups
A self-supervised data mining approach can find relationships between sequence features and functional annotations without preconceived functional categories.
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Reverse polarization in amino acid and nucleotide substitution patterns between human-mouse orthologs of two compositional extrema.
PMID 17895298 · PMC2533592 · DNA research : an international journal for rapid publication of reports on genes and genomes · 2007 · 8 claims · 7 setups
Nucleotide and amino acid substitution trends between human-mouse orthologs are highly asymmetric and polarized in opposite directions for high-GC versus low-GC gene groups.
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Has reproduction · 85
TGF-β-dependent reprogramming of amino acid metabolism induces epithelial-mesenchymal transition in non-small cell lung cancers.
PMID 34168290 · PMC8225889 · Communications biology · 2021 · 7 claims · 8 setups
TGF-β induces reprogramming of intracellular amino acid metabolism that is necessary to promote EMT in NSCLC cells
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Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy.
PMID 16984653 · PMC1618409 · BMC bioinformatics · 2006 · 8 claims · 6 setups
The proposed feature set outperforms existing published feature sets for predicting effects of amino acid substitutions
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Has reproduction · 85
Predicting the pathogenicity of missense variants using features derived from AlphaFold2.
PMID 37084271 · PMC10203375 · Bioinformatics (Oxford, England) · 2023 · 6 claims · 8 setups
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.
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Protein length in eukaryotic and prokaryotic proteomes.
PMID 15951512 · PMC1150220 · Nucleic acids research · 2005 · 7 claims · 5 setups
Eukaryotic proteins are significantly longer than prokaryotic proteins across virtually all functional categories and the majority of protein families
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Novel transglutaminase-1 mutations and genotype-phenotype investigations of 104 patients with autosomal recessive congenital ichthyosis in the USA.
PMID 18948357 · PMC3044481 · Journal of medical genetics · 2009 · 8 claims · 6 setups
TGM1 germline mutations were identified in 55% (57/104) of patients with ARCI
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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
Bongo identifies mutations causing local and global structural effects with a remarkably low false positive rate
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Protein co-evolution, co-adaptation and interactions.
PMID 18818697 · PMC2556093 · The EMBO journal · 2008 · 8 claims · 6 setups
The mirrortree method predicts protein-protein interactions by detecting pairs of protein families with similar phylogenetic trees (quantified as Pearson correlation of sequence similarity matrices).
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Has reproduction
Genome-wide signatures of convergent evolution in echolocating mammals.
PMID 24005325 · PMC3836225 · Nature · 2013 · 8 claims · 8 setups
Genome-wide convergent sequence evolution between echolocating lineages is not rare but widespread and continuously distributed, with signatures consistent with convergence in nearly 200 loci out of 2,326 examined.
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Evidence for limited genetic compartmentalization of HIV-1 between lung and blood.
PMID 19759830 · PMC2736399 · PloS one · 2009 · 8 claims · 7 setups
Statistical evidence of genetic compartmentalization between lung and blood HIV-1 env sequences was found in 10 of 18 subjects.
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COMUS: Clinician-Oriented locus-specific MUtation detection and deposition System.
PMID 19958500 · PMC2788389 · BMC genomics · 2009 · 8 claims · 6 setups
COMUS is a bioinformatics system for detecting and depositing new mutations from patient DNA with a clinician-friendly interface
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Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.
PMID 19756158 · PMC2742196 · PLoS computational biology · 2009 · 8 claims · 4 setups
MIP active learning is a novel active learning method that preferentially seeks informative Positive (functionally active) examples rather than only maximizing classifier accuracy.