文献类型：期刊文献

英文题名：Reversible Polymerization-like Kinetics for Programmable Self-Assembly of DNA-Encoded Nanoparticles with Limited Valence

作者：Gu, Mengxin[1];Ma, Xiaodong[1];Zhang, Liangshun[1];Lin, Jiaping[1]

机构：[1]East China Univ Sci & Technol, Sch Mat Sci & Engn, Shanghai Key Lab Adv Polymer Mat, Key Lab Ultrafine Mat,Minist Educ, Shanghai 200237, Peoples R China

年份：2019

卷号：141

期号：41

起止页码：16408

外文期刊名：JOURNAL OF THE AMERICAN CHEMICAL SOCIETY

收录：;EI(收录号：20194207539573);WOS:【SCI-EXPANDED(收录号:WOS:000491220300031)】；

基金：This work was supported by the National Natural Science Foundation of China (21574040, 21873029, and 51833003). We are grateful to Prof. R. Wang of NJU and Prof. H. Liang of USTC for their valuable comments. We sincerely thank the anonymous reviewers for their helpful suggestions, which resulted in substantial improvements of this work.

语种：英文

外文关键词：Computational methods - Growth kinetics - Kinetics - Self assembly - Sols - Nanoparticles - Polymerization

摘要：A similarity between the polymerization reaction of molecules and the self-assembly of nanoparticles provides a unique way to reliably predict structural characteristics of nanoparticle ensembles. However, the quantitative elucidation of programmable self-assembly kinetics of DNA-encoded nanoparticles is still challenging due to the existence of hybridization and dehybridization of DNA strands. Herein, a joint theoretical-computational method is developed to explicate the mechanism and kinetics of programmable self-assembly of limited-valence nanoparticles with surface encoding of complementary DNA strands. It is revealed that the DNA-encoded nanoparticles are programmed to form a diverse range of self-assembled superstructures with complex architecture, such as linear chains, sols, and gels of nanoparticles. It is theoretically demonstrated that the programmable self-assembly of DNA-encoded nanoparticles with limited valence generally obeys the kinetics and statistics of reversible step-growth polymerization originally proposed in polymer science. Furthermore, the theoretical-computational method is applied to capture the programmable self-assembly behavior of bivalent DNA-protein conjugates. The obtained results not only provide fundamental insights into the programmable self-assembly of DNA-encoded nanoparticles but also offer design rules for the DNA-programmed superstructures with elaborate architecture.