Applications of Artificial Intelligence for Drug Toxicity Predictions

人工智能在药物毒性预测中的应用

• 批准号: 2639643
• 金额: --
• 依托单位: University of Liverpool
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2639643
• 关键词: Applications; Artificial; Intelligence; Drug; Toxicity

I will apply artificial intelligence to understand the impact of existing and proposed drugs on the functioning of cells. I will investigate phenotypic effects such as disease alleviation, drug toxicity, or any other observable traits of interest. I will approach the problem from a graph-based perspective, by synthesising previously obtained experimental data into graph representations which can be used for inference and prediction of phenotypic effects. In particular, I will focus on graph databases and graph neural networks.

我将应用人工智能来了解现有和拟议的药物对细胞功能的影响。我将研究表型效应，如疾病缓解，药物毒性，或任何其他可观察到的感兴趣的性状。我将从基于图形的角度来处理这个问题，通过将以前获得的实验数据合成为图形表示，可以用于推断和预测表型效应。特别是，我将专注于图形数据库和图形神经网络。