Abstract
Adverse drug reaction (ADR) is big challenge in drug development process. The US Food and Drug Administration (FDA) collects a lot of ADR report cases. We develop a tool which integrates drug and drug target knowledge bases and builds up drug target networks whose topological analysis can reveal drug interaction complexity for every ADR report in FDA. We classify drugs using anatomical therapeutic chemical classification (ATC) code and drug targets using drug target ontology (DTO). This tool can help not only the analysis and prediction on ADRs cases but also the drug target assessment in the early drug discovery process.
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