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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Net positive charge of HIV-1 CRF01_AE V3 sequence regulates viral sensitivity to humoral immunity.
PMID 18787705 · PMC2527523 · PloS one · 2008 · 8 claims · 5 setups
Reduction in V3's net positive charge makes V3 less variable due to limited positive selection
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Natural variation of HIV-1 group M integrase: implications for a new class of antiretroviral inhibitors.
PMID 18687142 · PMC2546438 · Retrovirology · 2008 · 7 claims · 6 setups
Integrase displays significantly less inter- and intra-subtype amino acid diversity and lower Shannon's entropy than protease or RT.
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Has reproduction · 78
Detecting tipping points of complex diseases by network information entropy.
PMID 38960408 · PMC11221888 · Briefings in bioinformatics · 2024 · 8 claims · 4 setups
NIEE can detect critical states or tipping points in diverse data types, including bulk and single-sample expression data
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Candidate vaccine sequences to represent intra- and inter-clade HIV-1 variation.
PMID 19812689 · PMC2753653 · PloS one · 2009 · 7 claims · 5 setups
Natural CTL immunodominance toward variable proteome regions increases epitope mismatch with challenge strains and recapitulates the escape-driven CTL failure seen in natural infection, contributing to HIV vaccine failure
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Aberrant 5' splice sites in human disease genes: mutation pattern, nucleotide structure and comparison of computational tools that predict their utilization.
PMID 17576681 · PMC1934990 · Nucleic acids research · 2007 · 8 claims · 4 setups
Cryptic 5'ss are best predicted by computational algorithms that accommodate nucleotide dependencies (e.g., Markov model, maximum entropy, maximum dependence decomposition) rather than by weight-matrix models
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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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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
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
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The Proteomic Code: a molecular recognition code for proteins.
PMID 17999762 · PMC2206014 · Theoretical biology & medical modelling · 2007 · 8 claims · 8 setups
The Proteomic Code is a set of rules by which genetic information is transferred into the physico-chemical properties of amino acids, determining protein-protein interactions and folding; it is part of the redundant Genetic Code.
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Correlating novel variable and conserved motifs in the Hemagglutinin protein with significant biological functions.
PMID 18681973 · PMC2553082 · Virology journal · 2008 · 8 claims · 6 setups
14 MEME blocks were identified in the HA protein of H3N2 strains (1968-1999), with blocks 1, 2, 3, and 7 correlating with several biological functions
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Has reproduction · 53
Combining evidence of preferential gene-tissue relationships from multiple sources.
PMID 23950964 · PMC3741196 · PloS one · 2013 · 8 claims · 8 setups
A high-level integration approach combining three methods across four human microarray datasets, merged by consensus voting and a rule-based inner/total score, predicts preferentially expressed genes while reducing method- and study-specific bias.
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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
The Sequential Minimal Optimization (SMO) SVM algorithm was the best-performing classifier among 26 WEKA classifiers for predicting catalytic residues