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Design of therapeutic proteins with enhanced stability

机译:设计具有增强稳定性的治疗性蛋白质

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摘要

Therapeutic proteins such as antibodies constitute the most rapidly growing class of Pharmaceuticals for use in diverse clinical settings including cancer, chronic inflammatory diseases, kidney transplantation, cardiovascular medicine, and infectious diseases. Unfortunately, they tend to aggregate when stored under the concentrated conditions required in their usage. Aggregation leads to a decrease in antibody activity and could elicit an immunological response. Using full antibody atomistic molecular dynamics simulations, we identify the antibody regions prone to aggregation by using a technology that we developed called spatial aggregation propensity (SAP). SAP identifies the location and size of these aggregation prone regions, and allows us to perform target mutations of those regions to engineer antibodies for stability. We apply this method to therapeutic antibodies and demonstrate the significantly enhanced stability of our mutants compared with the wild type. The technology described here could be used to incorporate developability in a rational way during the screening of antibodies in the discovery phase for several diseases.
机译:诸如抗体之类的治疗性蛋白质构成了发展最快的一类药物,可用于多种临床环境,包括癌症,慢性炎性疾病,肾脏移植,心血管医学和传染病。不幸的是,它们在使用时需要的浓缩条件下储存时往往会聚集。聚集导致抗体活性降低,并可能引发免疫反应。使用完整的抗体原子分子动力学模拟,我们使用我们开发的一种称为空间聚集倾向(SAP)的技术来识别易于聚集的抗体区域。 SAP可以识别这些易于聚集的区域的位置和大小,并允许我们对这些区域进行靶点突变,从而对抗体进行工程改造以获得稳定性。我们将这种方法应用于治疗性抗体,并证明我们的突变体与野生型相比具有显着增强的稳定性。此处描述的技术可用于在发现阶段针对几种疾病的抗体筛选过程中以合理的方式纳入可开发性。

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