Sara Andreis
A Multiscale Model to assist the experimental Design and Optimization of pBAE Polymeric-based delivery systems for mRNA.
Rel. Marco Agostino Deriu, Giovanni Dalmasso, Marcello Miceli, Cristina Fornaguera. Politecnico di Torino, Master of science program in Mathematical Engineering, 2026
|
|
PDF (Tesi_di_laurea)
- Thesis
Restricted to: Only staff users fino al 20 September 2027 (data di embargo). Licence: Creative Commons Attribution Non-commercial No Derivatives. Download (30MB) |
Abstract
Efficient delivery systems are fundamental to the clinical translation of mRNA-based therapeutics and vaccines. Poly(β-amino ester) (pBAE) nanocarriers represent a versatile platform for mRNA delivery, as their chemical composition and architecture can be tuned to control encapsulation efficiency, structural stability, and interactions with biological environments. Molecular level insight are fundamental to understand the pBAE-mRNA interaction and optimally design the carrier. In this context, molecular dynamics (MD) simulations represent an elective tool of investigation and a state-of-art technique to couple experimental choice and define the optimal pBAE-mRNA encapsulation ratio. In addition to optimizing experimental design, MD enables direct observation of microscopic mechanisms that are difficult to resolve experimentally and supports the rational interpretation of macroscopic outcomes.
For this work a multiscale simulation strategy is implemented to develop and validate a coarse-grained (CG) model of two distinct pBAE polymers within the Martini force field
Relators
Academic year
Publication type
Number of Pages
Course of studies
Classe di laurea
Ente in cotutela
Aziende collaboratrici
URI
![]() |
Modify record (reserved for operators) |
