Efficacy of bi-component cocrystals and simple binary eutectics screening using heat of mixing estimated under super cooled conditions

Application of Co-Amorphous Technology for Improving the Physicochemical Properties of Amorphous Formulations

Co-amorphous technology was recently introduced to stabilize drugs in the amorphous state for drug development. We examined the predictability of the formation of co-amorphous systems and identified two reliable indicators of successful formation: (1) a negative Δ H_mix value and (2) small Δlog P between components. Moreover, we found that the stability of co-amorphous systems was improved when (1) Δ H_mix was negative and (2) amorphous forms of the constituent compounds were stable. Furthermore, we concluded that co-amorphous systems with small (negatively large) Δ H_mix values had lower hygroscopicity. Typically, amorphous solid dispersions exhibit hygroscopicity because polymers exhibit large hygroscopicity. We proved the superiority of co-amorphous technology over amorphous solid dispersion in this respect. Our results provide methods for (1) establishing a screening method and (2) improving hygroscopicity, which may make co-amorphous technology more useful than amorphous solid dispersion technology.

An ab initio molecular dynamics method for cocrystal prediction: validation of the approach

Cocrystal formation prediction by ab initio molecular dynamics and validation based on the experimental results of 145 coformers for six drugs.

Selection of effective cocrystals former for dissolution rate improvement of active pharmaceutical ingredients based on lipoaffinity index

New theoretical screening procedure was proposed for appropriate selection of potential cocrystal formers possessing the ability of enhancing dissolution rates of drugs. The procedure relies on the training set comprising 102 positive and 17 negative cases of cocrystals found in the literature. Despite the fact that the only available data were of qualitative character, performed statistical analysis using binary classification allowed to formulate quantitative criterions. Among considered 3679 molecular descriptors the relative value of lipoaffinity index, expressed as the difference between values calculated for active compound and excipient, has been found as the most appropriate measure suited for discrimination of positive and negative cases. Assuming 5% precision, the applied classification criterion led to inclusion of 70% positive cases in the final prediction. Since lipoaffinity index is a molecular descriptor computed using only 2D information about a chemical structure, its estimation is straightforward and computationally inexpensive. The inclusion of an additional criterion quantifying the cocrystallization probability leads to the following conjunction criterions H_mix<-0.18 and ΔLA>3.61, allowing for identification of dissolution rate enhancers. The screening procedure was applied for finding the most promising coformers of such drugs as Iloperidone, Ritonavir, Carbamazepine and Enthenzamide.

In silico screening of dicarboxylic acids for cocrystallization with phenylpiperazine derivatives based on both cocrystallization propensity and solubility advantage

In silico screening was performed to search for binary solids in which a phenylpiperazine-derivative drug was cocrystallized with a dicarboxylic acid. The phenylpiperazine derivative could be any of 61 such drugs, while the dicarboxylic acid could be any of nine such acids. The uniqueness of this approach was that two criteria had to be fulfilled simultaneously, namely a high propensity for cocrystallization and a sufficient solubility advantage. Using the mixing enthalpies of selected pairs of crystal formers with high affinities for one another permitted the classification of candidates with a high probability of cocrystallization. Further modeling of the solubility advantage allowed the identification of many binary solids that potentially exhibit significantly enhanced solubility in water. Based on the computed values for the mixing enthalpies and solubility advantage factors, it was concluded that dicarboxylic acids are both excellent coformers for cocrystallization with phenylpiperazines and very good solubility enhancers; indeed, the use of dicarboxylic acids as coformers would allow the degree of dissolution to be tuned for many of the studied drugs. The observed similarities of the cocrystallization landscapes of the studied drugs and excipients were also explored.