QSPR between molecular structures of polymers and micellar properties based on block unit autocorrelation (BUA) descriptors

Abstract

Polymeric micelles are a type of complex chemical product with multiple phases and components, and polymeric molecular structures are among the main factors influencing the micellar properties. In this study, based on block unit autocorrelation (BUA) descriptors, we employed a genetic function approximation (GFA) algorithm and multiple linear regression (MLR) to develop quantitative structure–property relationship (QSPR) models between the multi-topological structures of polymers and micellar properties including drug loading capacity (LC) and critical micelle concentration (CMC), generating an LC optimization model with five descriptors (n=60, R2=0.813, Q2LOO-CV=0.663, Q25-fold=0.636, F=46.880 (p<0.001), Q2ext=0.830, Q2y-rand=0.0004) and a CMC optimization model with six descriptors (n=22, R2=0.897, Q2LOO-CV=0.702, F=21.765 (p<0.001), Q2ext=0.717, Q2y-rand=0.0009). Based on the model analysis, the factors mainly influencing LC are the lowest unoccupied molecular orbital (LUMO) energy, dipole, electrostatic energy and electronic energy, which are related to the electronic energy level, electron distribution and interaction of electrons in molecules. The main factors affecting CMC are the energies of interactions between polymers and water, charges and branching of polymer structures. The conclusions obtained may help establish the regulatory mechanism between polymer structures and micellar properties and offer guidance for the design and development of polymeric carrier materials.