Submitted thesis 03/02/2021 - now has corrections - resubmission deadline Nov-2022

2021年2月3日提交的论文-现在有修改-重新提交截止日期2022年11月发现旧药物的新适应症（重新利用）所需的信息可能来自不同的来源。药物不良事件的电子健康记录和数据库将提供有关“现实生活”药物使用的信息。GWAS将提供基因-表型关联的信息。从生物学上我们可能知道什么编码什么蛋白质，以及这些蛋白质参与的一些生物学途径。从实验中我们知道每个分子（药物）附着（或可能附着）在什么蛋白质上。所有这些信息都存储在不同的数据库中，通常这些数据是不可链接的，也就是说，我们在所有数据库中都没有同一个人的信息。我们将提取有关关联的信息，并将这些信息结合起来，以便我们能够提供可测量程度的证据或“信念”，证明某种药物对某种特定疾病的潜在影响（即提供疾病-基因-蛋白质-药物之间的特定联系的证据）。这里的关键问题是定义一种表示每个信息片段的证据或信念程度的方法，并提出逻辑上一致的规则来组合它们。拨款552247取代旧的章拨款513157

Submitted thesis 03/02/2021 - now has corrections - resubmission deadline Nov-2022The information needed for the discovery of a new indication of an old drug (repurposing) might come from different sources. Electronic health records and databases of drugs adverse events will give information about "real life" use of drugs. GWAS will provide information on gene-phenotype association. From biology we might know what code what proteins, and some of the biological pathways in which these proteins participate. From experiments we know to what proteins each molecule (drug) attaches (or might attach to). All these pieces of information are stored in different databases, and often the data is not linkable, in the sense that we do not have the information for the same individual in all the databases.We will extract information on relevant associations and combine this information in such a way that we can provide a measurable degree of evidence or "belief" on the potential effect of a drug on a particular disease (i.e. provide evidence on a particular connection of disease-gene-protein-drug). The key problem here is to define a way of representing the degree of evidence or belief in each of the pieces of information, and come up with logically consistent rules to combine them.Grant 552247 replaces old CHAPTER grant 513157