制药数字化设计:从化学结构到晶体多态性再到概念结晶过程

IF 3.2 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Christopher L. Burcham*, Michael F. Doherty, Baron G. Peters, Sarah L. Price, Matteo Salvalaglio, Susan M. Reutzel-Edens, Louise S. Price, Ravi Kumar Reddy Addula, Nicholas Francia, Vikram Khanna and Yongsheng Zhao, 
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引用次数: 0

摘要

从活性药物成分(API)的化学结构出发进行结晶工艺数字化设计的工作流程是一个多步骤、多学科的过程。简单的方法是首先预测原料药的晶体结构,并从中预测相应的溶解度、形态和生长速度等特性,假设成核将由播种控制,然后利用这些参数设计结晶工艺。这通常过于简单化,因为大多数原料药都具有多态性,仅原料药最稳定的晶体可能并不具备开发成药物产品所需的特性。本视角从礼来数字设计项目的经验出发,探讨了晶体结构预测 (CSP)、自由能、溶解度、形态和生长率预测的基本理论基础,以及成核模拟的现状。我们将建模技术应用于奥氮平和琥珀酸这两个实际例子,以此来说明这一点。我们展示了在制药开发过程中使用原子序数计算机建模进行固体形态选择和工艺设计的前景。我们还指出了在应用当前计算建模和达到立即实施所需的精确度方面存在的问题,这些问题目前限制了该方法的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Pharmaceutical Digital Design: From Chemical Structure through Crystal Polymorph to Conceptual Crystallization Process

Pharmaceutical Digital Design: From Chemical Structure through Crystal Polymorph to Conceptual Crystallization Process

Pharmaceutical Digital Design: From Chemical Structure through Crystal Polymorph to Conceptual Crystallization Process

A workflow for the digital design of crystallization processes starting from the chemical structure of the active pharmaceutical ingredient (API) is a multistep, multidisciplinary process. A simple version would be to first predict the API crystal structure and, from it, the corresponding properties of solubility, morphology, and growth rates, assuming that the nucleation would be controlled by seeding, and then use these parameters to design the crystallization process. This is usually an oversimplification as most APIs are polymorphic, and the most stable crystal of the API alone may not have the required properties for development into a drug product. This perspective, from the experience of a Lilly Digital Design project, considers the fundamental theoretical basis of crystal structure prediction (CSP), free energy, solubility, morphology, and growth rate prediction, and the current state of nucleation simulation. This is illustrated by applying the modeling techniques to real examples, olanzapine and succinic acid. We demonstrate the promise of using ab initio computer modeling for solid form selection and process design in pharmaceutical development. We also identify open problems in the application of current computational modeling and achieving the accuracy required for immediate implementation that currently limit the applicability of the approach.

This work considers the theoretical basis of crystal structure prediction (CSP), free energy, solubility, morphology, and growth rate prediction, and the current state of nucleation simulation to provide the conceptual process design for industrial crystallizations of pharmaceutical compounds. This is illustrated by applying the modeling techniques to real examples, olanzapine and succinic acid. We describe and demonstrate the promise of using ab initio computer modeling for solid form selection and process design in pharmaceutical development from only a molecular structure.

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来源期刊
Crystal Growth & Design
Crystal Growth & Design 化学-材料科学:综合
CiteScore
6.30
自引率
10.50%
发文量
650
审稿时长
1.9 months
期刊介绍: The aim of Crystal Growth & Design is to stimulate crossfertilization of knowledge among scientists and engineers working in the fields of crystal growth, crystal engineering, and the industrial application of crystalline materials. Crystal Growth & Design publishes theoretical and experimental studies of the physical, chemical, and biological phenomena and processes related to the design, growth, and application of crystalline materials. Synergistic approaches originating from different disciplines and technologies and integrating the fields of crystal growth, crystal engineering, intermolecular interactions, and industrial application are encouraged.
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