A quality by design strategy for cocrystal design based on novel computational and experimental screening strategies: part A.

IF 5.7 3区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Drug Delivery and Translational Research Pub Date : 2024-11-20 DOI:10.1007/s13346-024-01743-2
Steven A Ross, Adam Ward, Patricia Basford, Mark McAllister, Dennis Douroumis
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Abstract

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.

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基于新型计算和实验筛选策略的共晶体设计质量设计策略:A 部分。
长期以来,人们一直认为药用共晶体是提高药物生物利用度的一种有效方法,但与盐类和无定形固体分散体等其他多组分药物相比,药用共晶体尚未在工业领域得到广泛应用。部分原因是没有确定的筛选策略来确定合适的共晶体,大多数共晶体筛选策略严重依赖于试验和错误方法,或通过利用多种计算筛选技术与高材料消耗实验技术相结合,而这些技术往往相互冲突。从工业角度来看,这往往会导致大量材料浪费和成本增加,从而鼓励优先采用更传统的生物增强技术。在此,我们介绍了一种多组分系统的选择策略,该策略涉及基于分子互补性和 H 键倾向性筛选的计算建模,用于筛选药物-前体配对。作为一种低材料消耗筛选策略,喷射点胶打印技术被用作不同化学计量比的高通量筛选(HTS)机制。本文介绍的这一策略是一种质量设计(QbD)晶体工程方法,它与实验筛选方法相结合,生产出一种新型 5-脂氧合酶(5-LO)抑制剂 PF-04191834 (PF4) 的共晶体。通过这种方法,在不到 50 毫克的原始测试材料中,经 DSC 和 XRPD 确认,PF4 出现了三种新的共晶体。本研究的 B 部分将展示该技术连续挤压的可扩展性。
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来源期刊
Drug Delivery and Translational Research
Drug Delivery and Translational Research MEDICINE, RESEARCH & EXPERIMENTALPHARMACOL-PHARMACOLOGY & PHARMACY
CiteScore
11.70
自引率
1.90%
发文量
160
期刊介绍: The journal provides a unique forum for scientific publication of high-quality research that is exclusively focused on translational aspects of drug delivery. Rationally developed, effective delivery systems can potentially affect clinical outcome in different disease conditions. Research focused on the following areas of translational drug delivery research will be considered for publication in the journal. Designing and developing novel drug delivery systems, with a focus on their application to disease conditions; Preclinical and clinical data related to drug delivery systems; Drug distribution, pharmacokinetics, clearance, with drug delivery systems as compared to traditional dosing to demonstrate beneficial outcomes Short-term and long-term biocompatibility of drug delivery systems, host response; Biomaterials with growth factors for stem-cell differentiation in regenerative medicine and tissue engineering; Image-guided drug therapy, Nanomedicine; Devices for drug delivery and drug/device combination products. In addition to original full-length papers, communications, and reviews, the journal includes editorials, reports of future meetings, research highlights, and announcements pertaining to the activities of the Controlled Release Society.
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