SOURCE-LINKED INTELLIGENCE

Disordered Metal-Organic Frameworks for Drug Delivery

CORDIS · observation · Publication date unknown

der-to-disorder transition, giving rise to slower drug release. This transition can be induced by either mechanical ball milling or thermal melt-quenching. Molecular dynamics and classification-based machine learning will be used to identify which local atomic structures are best correlated with drug release rate in disordered MOFs. Experimental validation will be performed to establish design principles for MOF structures with a tailored drug release profile. The project builds on complementary expertise of the fellow applicant (disordered biomaterials, in vitro studies) and supervisor (MOFs, simulations, machine learning). Combined with the research and training environment offered by the host organization (Aalborg University, Denmark), this will ensure the achievement of this novel project as well as the dissemination and exploitation of the results. The goal is to develop principles for designing disordered MOFs for drug delivery. The fellow applicant will emerge from the project with new skills, and the capability to launch his own research group. drug delivery, metal-organic f

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recordType

award

status

SIGNED

region

EU

value

230774.4

unit

EUR