计算机科学
补语(音乐)
生化工程
财产(哲学)
新产品开发
产品设计
产品(数学)
制药工业
药物开发
药物设计
会合(天文学)
药物发现
开发(拓扑)
药品
选择(遗传算法)
系统工程
信息学
纳米技术
铅(地质)
化学信息学
管理科学
合理设计
晶体结构预测
设计方法
作者
Rajni Miglani Bhardwaj
摘要
Pharmaceutical molecules have the miraculous property to exist in multiple solid-state forms i.e. polymorphs, hydrates, salts, co-crystals. These solid-state forms may exhibit different physical, chemical, kinetic, surface, and mechanical properties, which can lead to differences in bioavailability, manufacturability, and stability of drug product. Therefore, it is very crucial to select the solid form with optimum properties for a given drug product and which can be produced reliably. Over the past decade, pharmaceutical industry has witnessed an ever-increasing utilization of computational tools i.e. crystal structure prediction, solid form informatics etc. to complement experimental solid form selection process. In this presentation, we will be discussing how experimental and computational approaches are used in conjunction for solid form design and selection. Case studies will be presented where combined application of experimental and computational approaches were used in conjunction to underpin the link between the structural features and derived properties and to highlight how computational tools provide an opportunity to gain fundamental understanding at molecular and crystal structure level which can help with designing of robust drug product.
科研通智能强力驱动
Strongly Powered by AbleSci AI