Nano-QSAR in cell biology: Model of cell viability as a mathematical function of available eclectic data

Journal of Theoretical Biology

Volumn 416, Issue , 2017, Pages 113-118

  Toropova, Alla P ^a   Toropov, Andrey A ^a  

^a MARIO NEGRI INSTITUTE FOR PHARMACOLOGICAL RESEARCH   (Italy)

Author keywords

CORAL software; Monte Carlo method; Nano QFAR; Nano QSAR; Quasi SMILES

Indexed keywords

METAL OXIDE; NANOPARTICLE; OXIDE;

CALIBRATION; MODEL VALIDATION; MONTE CARLO ANALYSIS; NANOPARTICLE; NANOTECHNOLOGY; NUMERICAL MODEL; QUANTITATIVE ANALYSIS; SOFTWARE;

ARTICLE; CELL VIABILITY; CHEMICAL STRUCTURE; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; DATA BASE; ECLECTIC DATA; MATHEMATICAL PHENOMENA; PARTICLE SIZE; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SOFTWARE; STATISTICAL ANALYSIS; ANIMAL; BIOASSAY; BIOLOGICAL MODEL; CELL SURVIVAL; HUMAN; PROCEDURES; SUPERVISED MACHINE LEARNING; THEORETICAL MODEL;

ANIMALS; CELL SURVIVAL; ENDPOINT DETERMINATION; HUMANS; MODELS, BIOLOGICAL; MODELS, THEORETICAL; NANOPARTICLES; OXIDES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SUPERVISED MACHINE LEARNING;

EID: 85009423950     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2017.01.012     Document Type: Article

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