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预测治疗性蛋白质的溶液聚集速率:方法与挑战。

Predicting solution aggregation rates for therapeutic proteins: approaches and challenges.

机构信息

Department of Chemical Engineering and Center for Molecular and Engineering Thermodynamics, University of Delaware, Newark, DE 19716, United States.

出版信息

Int J Pharm. 2011 Oct 14;418(2):318-33. doi: 10.1016/j.ijpharm.2011.03.064. Epub 2011 Apr 8.

Abstract

Non-native aggregation is a common concern during therapeutic protein product development and manufacturing, particularly for liquid dosage forms. Because aggregates are often net irreversible under the conditions that they form, controlling aggregate levels requires control of aggregation rates across a range of solution conditions. Rational design of product formulation(s) would therefore benefit greatly from methods to accurately predict aggregation rates. This article focuses on the principles underlying current rate-prediction approaches for non-native aggregation, the limitations and strengths of different approaches, and illustrative examples from the authors' laboratories. The analysis highlights a number of reasons why accurate prediction of aggregation rates remains an outstanding challenge, and suggests some of the important areas for research to ultimately enable improved predictive capabilities in the future.

摘要

非天然聚集是治疗性蛋白产品开发和生产过程中的一个常见关注点,特别是对于液体制剂。由于聚集物在形成条件下通常是不可逆的,因此控制聚集物水平需要控制在一系列溶液条件下的聚集速率。因此,产品配方的合理设计将极大地受益于准确预测聚集速率的方法。本文重点介绍了当前非天然聚集速率预测方法的原理、不同方法的局限性和优势,以及作者实验室的实例。分析强调了为什么准确预测聚集速率仍然是一个具有挑战性的问题的一些原因,并提出了一些重要的研究领域,以最终实现未来预测能力的提高。

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