通过蛋白质相互作用网络模型的路径工程来预测临床前副作用
Mohammadali Alidoost1, Jennifer L Wilson1
1Department of Bioengineering, University of California, Los Angeles, California, USA.
CPT: pharmacometrics & systems pharmacology
|May 13, 2024
概括
蛋白质与蛋白质相互作用模型可以预测药物的副作用,但往往过度预测. 路径工程,结合真实积极的例子和omics数据,提高了这些药物效应模型的预测准确性.
科学领域:
- 药理学 药理学是指药理学的学科.
- 生物信息学是一种生物信息学.
- 系统生物学 系统生物学
背景情况:
- 计算工具旨在预测药物副作用,但目前的蛋白质与蛋白质相互作用 (PPI) 模型存在局限性.
- PPI模型往往过度预测药物表型,并且需要精确定义的途径表型来准确预测.
研究的目的:
- 评估和提高PPI模型,特别是PathFX在预测药物副作用方面的性能.
- 使用途径工程策略开发改进的途径表型定义.
主要方法:
- 利用PPI工具PathFX来预测药物标签上的活性成分-副作用对的副作用.
- 通过基于网络和基因表达的方法 (路径工程) 开发了新的路径表型.
- 将PPI模型的预测与动物模型数据进行比较.
主要成果:
- 最初的PPI模型性能有限,显示了灵敏度和特异性之间的权衡.
- 路径工程策略,包括真实积极的例子和omics数据,有助于限制过度预测.
- 来自PPI模型的预测显示了与动物模型相比较的性能指标,表明它们的实用性尽管评估指标不完美.
结论:
- 路径工程是一种有前途的策略,可以提高PPI网络模型的准确性和实用性,用于药物副作用预测.
- 即使没有完美的评估指标,PPI模型也可以成为药物效应预测的宝贵工具,特别是当通过途径工程进行增强时.
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