Suppr超能文献

药物研发中计算建模的新态势

Emerging Landscape of Computational Modeling in Pharmaceutical Development.

作者信息

Abramov Yuriy A, Sun Guangxu, Zeng Qun

机构信息

XtalPi, Inc., 245 Main St., Cambridge, Massachusetts 02142, United States.

Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina 27599, United States.

出版信息

J Chem Inf Model. 2022 Mar 14;62(5):1160-1171. doi: 10.1021/acs.jcim.1c01580. Epub 2022 Feb 28.

Abstract

Computational chemistry applications have become an integral part of the drug discovery workflow over the past 35 years. However, computational modeling in support of drug development has remained a relatively uncharted territory for a significant part of both academic and industrial communities. This review considers the computational modeling workflows for three key components of drug preclinical and clinical development, namely, process chemistry, analytical research and development, as well as drug product and formulation development. An overview of the computational support for each step of the respective workflows is presented. Additionally, in context of solid form design, special consideration is given to modern physics-based virtual screening methods. This covers rational approaches to polymorph, coformer, counterion, and solvent virtual screening in support of solid form selection and design.

摘要

在过去35年中,计算化学应用已成为药物发现工作流程中不可或缺的一部分。然而,对于学术界和工业界的很大一部分而言,支持药物开发的计算建模仍是一个相对未知的领域。本综述探讨了药物临床前和临床开发三个关键组成部分的计算建模工作流程,即工艺化学、分析研发以及药品和制剂开发。文中概述了各自工作流程中每一步的计算支持。此外,在固体形式设计的背景下,特别关注基于现代物理学的虚拟筛选方法。这涵盖了用于多晶型物、共形成剂、抗衡离子和溶剂虚拟筛选的合理方法,以支持固体形式的选择和设计。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验