Department of Pharmaceutics, Satara College of Pharmacy, Satara, Maharashtra, 415004, India.
Department of Pharmaceutics, PDEA's Shankarrao Ursal College of Pharmaceutical Sciences and Research Center, Kharadi, Pune, Maharashtra, 411014, India.
AAPS PharmSciTech. 2019 Jul 26;20(7):268. doi: 10.1208/s12249-019-1480-2.
Chemoinformatics is emerging as a new trend to set drug discovery which correlates the relationship between structure and biological functions. The main aim of chemoinformatics refers to analyzing the similarity among molecules, searching the molecules in the structural database, finding potential drug molecule and their property. One of the key fields in chemoinformatics is quantitative structure-property relationship (QSPR), which is an alternative process to predict the various physicochemical and biopharmaceutical properties. This methodology expresses molecules via various numerical values or properties (descriptors), which encodes the structural characteristics of molecules and further used to calculate physicochemical properties of the molecule. The established QSPR model could be used to predict the properties of compounds that have been measured or even have been unknown, which ultimately accelerates the development process of a new molecule or the product. The formulation characteristics (drug release, transportability, bioavailability) can be predicted with the integration of QSPR approach. Therefore, QSPR modeling is an emerging trend to skip conventional drug as well as formulation development process. The current review highlights the overall process involved in the application of the QSPR approach in formulation development.
化学生物信息学正在成为一种新的趋势,用于建立药物发现,它关联了结构与生物功能之间的关系。化学生物信息学的主要目标是分析分子之间的相似性,在结构数据库中搜索分子,寻找潜在的药物分子及其性质。化学生物信息学的一个关键领域是定量构效关系(QSAR),它是一种替代过程,可以预测各种物理化学和生物制药性质。该方法通过各种数值或性质(描述符)来表示分子,这些数值或性质编码了分子的结构特征,并进一步用于计算分子的物理化学性质。建立的 QSAR 模型可用于预测已测量或甚至未知的化合物的性质,从而最终加速新分子或产品的开发过程。可以通过整合 QSAR 方法来预测配方特性(药物释放、可传递性、生物利用度)。因此,QSAR 建模是一种新兴趋势,可以跳过传统药物和制剂开发过程。本综述重点介绍了在制剂开发中应用 QSAR 方法的整体过程。