The formulation and delivery of poorly soluble drugs has always been a challenge with estimated 70-90% of molecules in the development pipeline suffering from poor solubility and bioavailability. One way forward is to use an amorphous form of the drug, since this exists in a higher energy state and is more soluble than crystalline forms of the same compound. Amorphous small-molecule drugs, however, are intrinsically unstable and will spontaneously convert to lower-energy crystalline forms with lower aqueous solubility. A current popular approach to attempt to stabilise drugs in amorphous forms is to load them in the cavities of a mesoporous polymer which is then used as the delivery vehicle. Therein, with correct choice of pore size, the dynamic reorganisational requirements for crystallisation are unfulfilled. At present, the precise mechanism(s) for such amorphous state stabilisation is under debate. Computational evidence from our group at Aston indicates that, in addition to the accepted view of the size constraint (spatial confinement) of the pore preventing crystal nucleation, it is also highly influenced by non-covalent interactions between the drug molecules and the pore walls.
This project will comprise a combination of advanced laboratory-based experimental work and computer-based molecular modelling. The aim of this project is to develop a predictive computational approach that will allow the matching of individual poorly soluble drugs to mesoporous materials that will stabilise the drugs in their amorphous state and prevent crystallisation. This will be achieved by building upon the experimental and computational successes in this area achieved by the Aston groups of Dr Dan Rathbone and Dr Ali Al-Khattawi. The behaviour of selected drug molecules and their modes of aggregation in mesoporous materials (cellulose-based and cellulose derivative-based in the first instance) will be modelled using molecular dynamics simulations under a range of conditions (solvents, concentration, temperature). The observed outcomes will be benchmarked against experiments including DSC thermal analysis, HPLC quantification and nitrogen porosimetry.