Ross Steven A, Ward Adam, Basford Patricia, McAllister Mark, Douroumis Dennis
Centre for Research Innovation (CRI), University of Greenwich, Medway Campus, Chatham Maritime, Kent, ME4 4TB, UK.
Department of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, West Yorkshire, HD1 3DH, UK.
Drug Deliv Transl Res. 2024 Nov 20. doi: 10.1007/s13346-024-01743-2.
While pharmaceutical Cocrystals have long been acknowledged as a promising method of enhancing a drugs bioavailability, they have not yet experienced widespread industrial adoption on the same scale as other multi-component drugs, such as salts and amorphous solid dispersions. This is partly due to the lack of a being no definitive screening strategy to identify suitable coformers, with the most cocrystal screening strategies heavily relying on trial and error approaches, or through utilizing a multiple and often conflicting, computational screening techniques combined with high material consumption experimental techniques. From the perspective of industry, this can often lead to high material waste and increased costs, encouraging the prioritization of more traditional bioenhancement techniques. Here we present a strategy for the selection of multicomponent systems involving computational modelling for screening of drug- former pairs based on a combination of molecular complementarity and H-bond propensity screening. Jet dispensing printing technology is co-opted as a mechanism for High-Throughput Screening (HTS) of different stoichiometric ratios, as a low material consumption screening strategy. This strategy is presented herein as a Quality by Design (QbD) crystal engineering approach, combined with experimental screening methods to produce cocrystals of a novel 5-Lipoxygenase (5-LO) inhibitor, PF-04191834 (PF4). Through this methodology, three new cocrystals were indicated for PF4, confirmed via DSC and XRPD, from less than 50 mg of original testing material. Part B of this study will demonstrate the scalability of this technique continuous extrusion.
虽然药物共晶体长期以来一直被认为是提高药物生物利用度的一种有前景的方法,但它们尚未像其他多组分药物(如盐类和无定形固体分散体)那样在工业上得到广泛应用。部分原因是缺乏确定合适共形成剂的明确筛选策略,大多数共晶体筛选策略严重依赖试错法,或者通过使用多种且往往相互冲突的计算筛选技术并结合高材料消耗的实验技术。从工业角度来看,这通常会导致高材料浪费和成本增加,促使人们优先考虑更传统的生物增强技术。在此,我们提出一种选择多组分体系的策略,该策略涉及基于分子互补性和氢键倾向筛选的计算建模,用于筛选药物 - 共形成剂对。喷射分配打印技术被用作一种筛选不同化学计量比的高通量筛选(HTS)机制,作为一种低材料消耗的筛选策略。本文将此策略作为一种设计质量(QbD)晶体工程方法呈现,结合实验筛选方法来制备新型5 - 脂氧合酶(5 - LO)抑制剂PF - 04191834(PF4)的共晶体。通过这种方法,从不到50毫克的原始测试材料中筛选出三种适用于PF4的新共晶体,并通过差示扫描量热法(DSC)和X射线粉末衍射(XRPD)得到证实。本研究的B部分将展示这种连续挤出技术的可扩展性。