Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China.
Institute of Chinese Medical Sciences (ICMS), State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macau, China.
Brief Bioinform. 2023 Nov 22;25(1). doi: 10.1093/bib/bbad419.
Today, pharmaceutical industry faces great pressure to employ more efficient and systematic ways in drug discovery and development process. However, conventional formulation studies still strongly rely on personal experiences by trial-and-error experiments, resulting in a labor-consuming, tedious and costly pipeline. Thus, it is highly required to develop intelligent and efficient methods for formulation development to keep pace with the progress of the pharmaceutical industry. Here, we developed a comprehensive web-based platform (FormulationAI) for in silico formulation design. First, the most comprehensive datasets of six widely used drug formulation systems in the pharmaceutical industry were collected over 10 years, including cyclodextrin formulation, solid dispersion, phospholipid complex, nanocrystals, self-emulsifying and liposome systems. Then, intelligent prediction and evaluation of 16 important properties from the six systems were investigated and implemented by systematic study and comparison of different AI algorithms and molecular representations. Finally, an efficient prediction platform was established and validated, which enables the formulation design just by inputting basic information of drugs and excipients. FormulationAI is the first freely available comprehensive web-based platform, which provides a powerful solution to assist the formulation design in pharmaceutical industry. It is available at https://formulationai.computpharm.org/.
如今,制药行业在药物发现和开发过程中面临着采用更高效、更系统的方法的巨大压力。然而,传统的制剂研究仍然强烈依赖于通过反复试验的个人经验,导致这一过程既耗费时间,又繁琐,且成本高昂。因此,开发用于制剂开发的智能且高效的方法以跟上制药行业的发展步伐是非常必要的。在这里,我们开发了一个全面的基于网络的制剂设计计算平台(FormulationAI)。首先,我们收集了制药行业中六种广泛使用的药物制剂系统超过 10 年的最全面数据集,包括环糊精制剂、固体分散体、磷脂复合物、纳米晶体、自乳化和脂质体系统。然后,通过对不同 AI 算法和分子表示的系统研究和比较,对来自这六个系统的 16 个重要性质进行了智能预测和评估。最后,建立并验证了一个高效的预测平台,只需输入药物和赋形剂的基本信息即可进行制剂设计。FormulationAI 是第一个免费提供的综合性网络平台,为辅助制药行业的制剂设计提供了强大的解决方案。它可在 https://formulationai.computpharm.org/ 上获取。