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Probing enzyme-nanoparticle interactions using combinatorial gold nanoparticle libraries 被引量:2
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作者 Yanyan Liu david a. winkler +2 位作者 V. Chandana Epa Bin Zhang Bing Yan 《Nano Research》 SCIE EI CAS CSCD 2015年第4期1293-1308,共16页
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 s... 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. 展开更多
关键词 gold nanoparticles surface modification enzyme inhibition ACETYLCHOLINESTERASE protein binding modeling quantitative structure-property relationship(QSPR) neural network
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