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Predictive Platforms of Bond Cleavage and Drug Release Kinetics for Macromolecule–Drug Conjugates
Annual Review of Chemical and Biomolecular Engineering ( IF 8.4 ) Pub Date : 2021-06-07 , DOI: 10.1146/annurev-chembioeng-091720-030636
Souvik Ghosal 1 , Javon E Walker 2 , Christopher A Alabi 1, 2
Affiliation  

Macromolecule–drug conjugates (MDCs) occupy a critical niche in modern pharmaceuticals that deals with the assembly and combination of a macromolecular carrier, a drug cargo, and a linker toward the creation of effective therapeutics. Macromolecular carriers such as synthetic biocompatible polymers and proteins are often exploited for their inherent ability to improve drug circulation, prevent off-target drug cytotoxicity, and widen the therapeutic index of drugs. One of the most significant challenges in MDC design involves tuning their drug release kinetics to achieve high spatiotemporal precision. This level of control requires a thorough qualitative and quantitative understanding of the bond cleavage event. In this review, we highlight specific research findings that emphasize the importance of establishing a precise structure–function relationship for MDCs that can be used to predict their bond cleavage and drug release kinetic parameters.

中文翻译:


大分子-药物偶联物的键裂解和药物释放动力学预测平台

大分子-药物偶联物 (MDC) 在现代药物中占据关键位置,它处理大分子载体、药物货物和连接物的组装和组合,以创造有效的治疗方法。合成生物相容性聚合物和蛋白质等大分子载体因其固有的改善药物循环、防止脱靶药物细胞毒性和扩大药物治疗指数的能力而经常被利用。MDC 设计中最重要的挑战之一是调整其药物释放动力学以实现高时空精度。这种水平的控制需要对键裂解事件进行彻底的定性和定量理解。在这次审查中,

更新日期:2021-06-08
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