scholarly journals Real-space studies of the structure and dynamics of self-assembled colloidal clusters

2012 ◽  
Vol 159 ◽  
pp. 211 ◽  
Author(s):  
Rebecca W. Perry ◽  
Guangnan Meng ◽  
Thomas G. Dimiduk ◽  
Jerome Fung ◽  
Vinothan N. Manoharan
Nano Letters ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 3699-3706 ◽  
Author(s):  
Guillemin Rodary ◽  
Lorenzo Bernardi ◽  
Christophe David ◽  
Bruno Fain ◽  
Aristide Lemaître ◽  
...  

2020 ◽  
Vol 48 (9) ◽  
pp. 5135-5146 ◽  
Author(s):  
Christopher Maffeo ◽  
Aleksei Aksimentiev

Abstract Although the field of structural DNA nanotechnology has been advancing with an astonishing pace, de novo design of complex 3D nanostructures and functional devices remains a laborious and time-consuming process. One reason for that is the need for multiple cycles of experimental characterization to elucidate the effect of design choices on the actual shape and function of the self-assembled objects. Here, we demonstrate a multi-resolution simulation framework, mrdna, that, in 30 min or less, can produce an atomistic-resolution structure of a self-assembled DNA nanosystem. We demonstrate fidelity of our mrdna framework through direct comparison of the simulation results with the results of cryo-electron microscopy (cryo-EM) reconstruction of multiple 3D DNA origami objects. Furthermore, we show that our approach can characterize an ensemble of conformations adopted by dynamic DNA nanostructures, the equilibrium structure and dynamics of DNA objects constructed using off-lattice self-assembly principles, i.e. wireframe DNA objects, and to study the properties of DNA objects under a variety of environmental conditions, such as applied electric field. Implemented as an open source Python package, our framework can be extended by the community and integrated with DNA design and molecular graphics tools.


2017 ◽  
Vol 53 (53) ◽  
pp. 7294-7297 ◽  
Author(s):  
Sílvia Pujals ◽  
Kai Tao ◽  
Adrià Terradellas ◽  
Ehud Gazit ◽  
Lorenzo Albertazzi

Understanding the formation and properties of self-assembled peptide nanostructures is the basis for the design of new architectures for various applications.


2016 ◽  
Vol 113 (50) ◽  
pp. 14195-14200 ◽  
Author(s):  
Kan Yue ◽  
Mingjun Huang ◽  
Ryan L. Marson ◽  
Jinlin He ◽  
Jiahao Huang ◽  
...  

Frank–Kasper (F-K) and quasicrystal phases were originally identified in metal alloys and only sporadically reported in soft materials. These unconventional sphere-packing schemes open up possibilities to design materials with different properties. The challenge in soft materials is how to correlate complex phases built from spheres with the tunable parameters of chemical composition and molecular architecture. Here, we report a complete sequence of various highly ordered mesophases by the self-assembly of specifically designed and synthesized giant surfactants, which are conjugates of hydrophilic polyhedral oligomeric silsesquioxane cages tethered with hydrophobic polystyrene tails. We show that the occurrence of these mesophases results from nanophase separation between the heads and tails and thus is critically dependent on molecular geometry. Variations in molecular geometry achieved by changing the number of tails from one to four not only shift compositional phase boundaries but also stabilize F-K and quasicrystal phases in regions where simple phases of spheroidal micelles are typically observed. These complex self-assembled nanostructures have been identified by combining X-ray scattering techniques and real-space electron microscopy images. Brownian dynamics simulations based on a simplified molecular model confirm the architecture-induced sequence of phases. Our results demonstrate the critical role of molecular architecture in dictating the formation of supramolecular crystals with “soft” spheroidal motifs and provide guidelines to the design of unconventional self-assembled nanostructures.


ChemPhysChem ◽  
2004 ◽  
Vol 5 (4) ◽  
pp. 488-494 ◽  
Author(s):  
Guido W. M. Vandermeulen ◽  
Dariush Hinderberger ◽  
Hui Xu ◽  
Sergei S. Sheiko ◽  
Gunnar Jeschke ◽  
...  

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