Crowd-Sourced Verification of Computational Methods and Data in Systems Toxicology: A Case Study with a Heat-Not-Burn Candidate Modified Risk Tobacco Product

Chemical Research in Toxicology

Volumn 30, Issue 4, 2017, Pages 934-945

  Poussin, Carine ^a   Belcastro, Vincenzo ^a   Martin, Florian ^b   Boué, Stéphanie ^b   Peitsch, Manuel C ^b   Hoeng, Julia ^b  

^a Philip Morris Products SA ^*

^b Philip Morris Products SA   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CIGARETTE SMOKE; AROMATIC HYDROCARBON RECEPTOR; BIOLOGICAL MARKER; LRRN3 PROTEIN, HUMAN; MEMBRANE PROTEIN; PURINERGIC P2 RECEPTOR; SASH1 PROTEIN, HUMAN; TRANSCRIPTOME; TUMOR PROTEIN; TUMOR SUPPRESSOR PROTEIN;

ACCURACY; ANONYMIZATION; ARTICLE; BLOOD SAMPLING; CLASSIFICATION; CROWDSOURCING; DATA ANALYSIS; GENE EXPRESSION PROFILING; HUMAN; MOUSE; NONHUMAN; PREDICTION; SMOKING; SYSTEMS BIOLOGY; SYSTEMS TOXICOLOGY; TOBACCO; TOXICOLOGY; VALIDATION PROCESS; ANIMAL; BLOOD; CHEMISTRY; DRUG EFFECTS; HEAT; RISK; THEORETICAL MODEL; TOXICITY;

ANIMALS; BIOMARKERS; CROWDSOURCING; HOT TEMPERATURE; HUMANS; MEMBRANE PROTEINS; MICE; MODELS, THEORETICAL; NEOPLASM PROTEINS; RECEPTORS, ARYL HYDROCARBON; RECEPTORS, PURINERGIC P2; RISK; SMOKING; TOBACCO; TRANSCRIPTOME; TUMOR SUPPRESSOR PROTEINS;

EID: 85018476610     PISSN: 0893228X     EISSN: 15205010     Source Type: Journal    
DOI: 10.1021/acs.chemrestox.6b00345     Document Type: Article

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