A controlled vocabulary and taxonomy for the submission of quality attributes for therapeutic proteins

Joel T. Welch, Steven Kozlowski, Bazarragchaa Damdinsuren, Brian A. Roelofs
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Abstract

Structured product quality data offer tremendous promise to revolutionize the submission of drug applications. However, the quality attributes for biological products do not have a systematic naming taxonomy, and consequently this limit poses a critical challenge in the development of systems for structured regulatory submissions. Here, we describe the creation of a controlled vocabulary with a structured taxonomical naming approach for quality attributes of therapeutic proteins. Additionally, we endeavor to make the case for why such systematic harmonized naming is required to support the successful implementation of structured data systems. We also describe the key principles of our structured naming approach, including a top-down view of the product and protein structure and a distinction between a quality attribute and the test to evaluate the attribute. Finally, we describe how this approach can accommodate emerging product types, advanced manufacturing technologies, and be used across the variety of submission sections in a regulatory dossier that discusses quality attributes.
用于提交治疗用蛋白质质量属性的受控词汇表和分类法
结构化产品质量数据为药品申请的提交带来了巨大的变革前景。然而,生物制品的质量属性并没有一个系统的命名分类法,因此,这一限制对开发结构化监管提交系统提出了严峻的挑战。在此,我们将介绍如何创建一个具有结构化分类命名方法的受控词汇表,用于治疗蛋白质的质量属性。此外,我们还努力说明为什么需要这种系统化的统一命名来支持结构化数据系统的成功实施。我们还介绍了结构化命名方法的主要原则,包括自上而下地观察产品和蛋白质结构,以及区分质量属性和评估属性的测试。最后,我们介绍了这种方法如何适应新兴的产品类型和先进的制造技术,以及如何用于监管档案中讨论质量属性的各种提交部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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