Modeling biological activities of nanoparticles

Nano Letters

Volumn 12, Issue 11, 2012, Pages 5808-5812

  Epa, V Chandana ^a   Burden, Frank R ^a   Tassa, Carlos ^c   Weissleder, Ralph ^c   Shaw, Stanley ^c,d   Winkler, David A ^a,b  

^a CSIRO   (Australia)

^b MONASH UNIVERSITY   (Australia)

^c MASSACHUSETTS GENERAL HOSPITAL   (United States)

^d MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

apoptosis; Bayesian methods; cellular uptake; model prediction; Nanoparticle toxicity

Indexed keywords

ADVERSE EFFECT; BAYESIAN METHODS; CELL TYPES; CELLULAR UPTAKE; COMPUTATIONAL MODEL; EXPERIMENTAL TESTING; MODEL PREDICTION; NANOPARTICLE TOXICITY; PREDICTIVE MODELS; REGULATORY AUTHORITIES;

BAYESIAN NETWORKS; CELL DEATH; COMPUTATIONAL METHODS; NANOSTRUCTURED MATERIALS; TOXICITY;

NANOPARTICLES;

NANOMATERIAL; NANOPARTICLE;

ANIMAL; APOPTOSIS; ARTICLE; BAYES THEOREM; BIOPHYSICS; CHEMISTRY; HUMAN; METHODOLOGY; MOUSE; NANOTECHNOLOGY; REGRESSION ANALYSIS; RISK; STATISTICAL MODEL; STRUCTURE ACTIVITY RELATION; TUMOR CELL LINE; UMBILICAL VEIN ENDOTHELIAL CELL;

ANIMALS; APOPTOSIS; BAYES THEOREM; BIOPHYSICS; CELL LINE, TUMOR; HUMAN UMBILICAL VEIN ENDOTHELIAL CELLS; HUMANS; MICE; MODELS, STATISTICAL; NANOPARTICLES; NANOSTRUCTURES; NANOTECHNOLOGY; REGRESSION ANALYSIS; RISK; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84869164498     PISSN: 15306984     EISSN: 15306992     Source Type: Journal    
DOI: 10.1021/nl303144k     Document Type: Article

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