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Updated: Jan 18, 2026

Assembling Molecular Shuttles Powered by Reversibly Attached Kinesins
Published on: January 26, 2019
Kinetic Network Models to Elucidate the Kinetic-Controlled Molecular Assembly Processes
Lingyu Zhang1, Yijia Wang1, Xiaoyan Zheng1
1Key Laboratory of Cluster Science of Ministry of Education, Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials, Key Laboratory of Medicinal Molecule Science and Pharmaceutics Engineering of Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, China.
Abstract:
Organic molecular assembly is a fundamental protocol for constructing organic functional materials at time and length scales beyond individual molecules. Following a bottom-up strategy, organic nanostructures with diverse morphologies and specific functionalities could be obtained. However, the flexible conformations and the cooperative interplay of different noncovalent interactions, lead to countless kinetically metastable states and make the precise prediction of assembled nanostructures extremely challenging. In this review, the theoretical backgrounds and a general theoretical protocol of kinetic network models (KNMs) are first introduced. Then, the molecular assembly mechanism and its regulation are presented for various molecular assembly systems ranging from small molecules (e.g., surfactants, lipids, metal complexes, and ice nuclei) to block copolymers and patchy particles, and further to peptides. For each assembly system, the distribution of metastable structures and the kinetically assembled pathways of the assembly process, as well as the relationship between kinetic pathways preferences and the finally assembled nanostructures are presented. Therefore, it is crucial for a deeper understanding of assembly mechanism and it paves an effective way for the precise control of assembled nanostructures kinetically, which benefits the fabrication of advanced organic functional materials.
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