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AB-Amy:在机器学习的帮助下,预测治疗性抗体轻链的amyloidogenic风险

Yuwei Zhou¹, Ziru Huang¹, Yushu Gou¹

¹School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.

Antibody therapeutics

|July 26, 2023

概括

一个新的模型,AB-Amy,使用二组合预测抗体轻链氨基粉症风险. 这种工具有助于早期选抗体治疗药物,提高药物安全性和开发效率.

科学领域:

生物技术是生物技术.
计算生物学计算生物学
药物开发药物开发

背景情况:

超过120种基于抗体的疗法已获得FDA批准,用于治疗各种疾病.
较差的物理化学特性,如轻链氨基粉症,对抗体候选药物构成重大风险.
早期识别amyloidosis风险对于成本效益和安全的抗体开发至关重要.

研究的目的:

开发一种预测模型,用于评估抗体治疗中的轻链粉原体风险.
提高抗体药物临床开发的安全性和效率.

主要方法:

一个基于支持向量的机器模型,AB-Amy,使用二组合数据进行训练.
该模型是在包含742个粉原和712个非粉原抗体轻链的数据集上进行训练的.
评估了模型的预测性能.

主要成果:

AB-Amy模型实现了0.9651.1的高曲线下面积 (AUC).
该模型在预测轻链氨基胺基因风险方面表现出色.

结论:

AB-Amy 作为一种有价值的工具,用于 *in silico* 评估轻链胺基因风险.
该模型可以显著提高临床开发中的抗体治疗药物的安全性.
研究人员可以免费访问AB-Amy的Web服务器.

关键词:

氨基粉症是什么?开发能力开发能力预测预测预测预测支持矢量机器 (SVM) 的使用.治疗性抗体治疗性抗体

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相关概念视频

Amyloid Fibrils

Amyloid Fibrils

Amyloid fibrils are aggregates of misfolded proteins. Under most circumstances, misfolded proteins are either refolded by chaperone proteins or degraded by the proteasome. However, in the case of a mutation or a disease, these proteins can accumulate to form large clusters and often further assemble to form elongated fibers, called fibrils.
Amyloid deposits were observed as early as 1639 in the liver and the spleen. In 1854, Rudolph Virchow performed iodine staining,...