Cyclopeptide self-assembly simulated epidemic sequential and synchronous complexity

Abstract

Background: Epidemic growth curve was one of the epidemiological characteristics, which included sequential and synchronous and their complexity Objectives: Decoding the sequential and synchronous complexities of epidemic outbreaks will help guide the scientific response to the epidemic. Here, the complexities of epidemic sequential and synchronous were simulated from the perspective and method of cyclopeptide self-assembly, and the process of cyclopeptide self-assembly was observed by molecular fluorescence and morphological changes, reflecting the characteristics of the epidemic changes. Results: The results showed that the cyclopeptide, namely cyclo (FWWYYF), self-assembly process took different forms under different concentrations and solvents. At lower concentrations, cyclopeptide molecules simulated the complexity of epidemic sequential and synchronous, while at higher concentrations, cyclopeptide molecules self-assembly also behaves as a non-sequential and non-synchronous composite multimodal model. Conclusions: These results indicated that the complexity of the epidemic outbreaks was not only the complexity of sequential and synchronous, but also the emergence of non-sequential and non-synchronous complex multimodal models. Molecular simulations elucidated why the global pandemic required global solidarity and synchronization.