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The last two decades have provided a flood of data relevant to drug action--from both basic science and clinical sources. These data provide molecular, cellular, tissue, organism and population-level information about how drugs work to create both efficacy and adverse events. Any single data source is imperfect, but integration of these sources can yield remarkable and practical discoveries as well as opportunities for application. In this talk, I describe our recent work using informatics technologies to (1) assess the potential impact of pharmacogenomics in the era of personal genome sequencing, (2) analyze the corpus of published medical literature to extract potentially novel drug interactions along with putative mechanisms, and (3) discover a novel drug-drug interaction that may affect up to 1 million Americans. Together these efforts suggest that informatics-driven science can not only create strong hypotheses, but can provide initial validation, and suggest very focused inexpensive experimental validations.
The NIH Wednesday Afternoon Lecture Series includes weekly scientific talks by some of the top researchers in the biomedical sciences worldwide.
The emerging network of data for understanding the interactions of genes and drugs [electronic resource] / Russ B. Altman.
Series:
NIH Wednesday afternoon lecture
Author:
Altman, Russ. National Institutes of Health (U.S.)
Publisher:
[Bethesda, Md. : National Institutes of Health, 2011]
Other Title(s):
NIH Wednesday afternoon lecture
Abstract:
(CIT): The last two decades have provided a flood of data relevant to drug action--from both basic science and clinical sources. These data provide molecular, cellular, tissue, organism and population-level information about how drugs work to create both efficacy and adverse events. Any single data source is imperfect, but integration of these sources can yield remarkable and practical discoveries as well as opportunities for application. In this talk, I describe our recent work using informatics technologies to (1) assess the potential impact of pharmacogenomics in the era of personal genome sequencing, (2) analyze the corpus of published medical literature to extract potentially novel drug interactions along with putative mechanisms, and (3) discover a novel drug-drug interaction that may affect up to 1 million Americans.
Subjects:
Base Sequence--drug effects Drug Interactions--genetics Genome--drug effects Medical Informatics Pharmacogenetics
