Engineering mannose-functionalized nanostructured lipid carriers by sequential design using hybrid artificial intelligence tools.

ABSTRACT: Nanostructured lipid carriers (NLCs) hold significant promise as drug delivery systems (DDS) owing to their small size and efficient drug-loading capabilities. Surface functionalization of NLCs can facilitate interaction with specific cell receptors, enabling targeted cell delivery. Mannosylation has emerged as a valuable tool for increasing the ability of nanoparticles to be recognized and internalized by macrophages. Nevertheless, the design and development of functionalized NLC is a complex task that entails the optimization of numerous variables and steps, making the process challenging and time-consuming. Moreover, no previous studies have been focused on evaluating the functionalization efficiency. In this work, hybrid Artificial Intelligence technologies are used to help in the desi

SUBMITTER: Martinez-Borrajo R 

PROVIDER: S-EPMC11615115 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature