Modeling Biological Activities of Nanoparticles

被引：156

作者：

Epa, V. Chandana ^{[2
]}

Burden, Frank R. ^{[1
]}

Tassa, Carlos ^{[4
,5
]}

Weissleder, Ralph ^{[4
,5
]}

Shaw, Stanley ^{[4
,5
,6
]}

Winkler, David A. ^{[1
,3
]}

机构：

[1] CSIRO Mat Sci & Engn, Clayton, Vic 3168, Australia

[2] CSIRO Mat Sci & Engn, Parkville, Vic 3052, Australia

[3] Monash Inst Pharmaceut Sci, Parkville, Vic 30152, Australia

[4] Massachusetts Gen Hosp, Ctr Syst Biol, Boston, MA 02114 USA

[5] Harvard Univ, Sch Med, Boston, MA USA

[6] Broad Inst Harvard & MIT, Cambridge, MA USA

来源：

NANO LETTERS | 2012年 / 12卷 / 11期

关键词：

Nanoparticle toxicity; model prediction; apoptosis; cellular uptake; Bayesian methods; BOVINE SERUM-ALBUMIN; ROBUST QSAR MODELS; DESCRIPTOR SELECTION; PARTICLES; ADSORPTION;

D O I：

10.1021/nl303144k

中图分类号：

O6 [化学];

学科分类号：

070301 [无机化学];

摘要：

Products are increasingly incorporating nanomaterials, but we have a poor understanding of their adverse effects. To assess risk, regulatory authorities need more experimental testing of nanoparticles. Computational models play a complementary role in allowing rapid prediction of potential toxicities of new and modified nanomaterials. We generated quantitative, predictive models of cellular uptake and apoptosis induced by nanoparticles for several cell types. We illustrate the potential of computational methods to make a contribution to nanosafety.

引用

页码：5808 / 5812

页数：5

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