标题:Probing enzyme-nanoparticle interactions using combinatorial gold nanoparticle libraries
作者:Liu, Yanyan; Winkler, David A.; Epa, V. Chandana; Zhang, Bin; Yan, Bing
作者机构:[Liu Yanyan] School of Chemistry and Chemical Engineering, Shandong University, Ji'nan, Shandong 250100, China.;[Zhang Bin] School of Chemistry and Ch 更多
通讯作者地址:[Yan, B]Shandong Univ, Sch Chem & Chem Engn, Jinan 250100, Peoples R China.
来源:纳米研究
出版年:2015
卷:8
期:4
页码:1293-1308
DOI:10.1007/s12274-014-0618-5
关键词:gold nanoparticles; surface modification; enzyme inhibition;; acetylcholinesterase; protein binding; modeling; quantitative; structure-property relationship (QSPR); neural network
摘要:The interaction of nanoparticles with proteins is extremely complex, important for understanding the biological properties of nanomaterials, but is very poorly understood. We have employed a combinatorial library of surface modified gold nanoparticles to interrogate the relationships between the nanoparticle surface chemistry and the specific and nonspecific binding to a common, important, and representative enzyme, acetylcholinesterase (AChE). We also used Bayesian neural networks to generate robust quantitative structure-property relationship (QSPR) models relating the nanoparticle surface to the AChE binding that also provided significant understanding into the molecular basis for these interactions. The results illustrate the insights that result from a synergistic blending of experimental combinatorial synthesis and biological testing of nanoparticles with quantitative computational methods and molecular modeling.
收录类别:CSCD;SCOPUS;SCIE
WOS核心被引频次:12
Scopus被引频次:11
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939990170&doi=10.1007%2fs12274-014-0618-5&partnerID=40&md5=e5ccfa0e58945a8e4dbd9c35dee67209
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