Translational Biomedical Informatics and Pharmacometrics Approaches in the Drug Interactions Research

If you need an accessible version of this item, please email your request to digschol@iu.edu so that they may create one and provide it to you.
Date
2018
Language
English
Embargo Lift Date
Committee Members
Degree
Degree Year
Department
Grantor
Journal Title
Journal ISSN
Volume Title
Found At
Wiley
Abstract

Drug interaction is a leading cause of adverse drug events and a major obstacle for current clinical practice. Pharmacovigilance data mining, pharmacokinetic modeling, and text mining are computation and informatic tools on integrating drug interaction knowledge and generating drug interaction hypothesis. We provide a comprehensive overview of these translational biomedical informatics methodologies with related databases. We hope this review illustrates the complementary nature of these informatic approaches and facilitates the translational drug interaction research.

Description
item.page.description.tableofcontents
item.page.relation.haspart
Cite As
Zhang, P., Wu, H.-Y., Chiang, C.-W., Wang, L., Binkheder, S., Wang, X., Zeng, D., Quinney, S. K. and Li, L. (2018), Translational Biomedical Informatics and Pharmacometrics Approaches in the Drug Interactions Research. CPT Pharmacometrics Syst. Pharmacol.. Accepted Author Manuscript. http://dx.doi.org/10.1002/psp4.12267
ISSN
Publisher
Series/Report
Sponsorship
Major
Extent
Identifier
Relation
Journal
CPT: Pharmacometrics & Systems Pharmacology
Source
Author
Alternative Title
Type
Article
Number
Volume
Conference Dates
Conference Host
Conference Location
Conference Name
Conference Panel
Conference Secretariat Location
Version
Author's manuscript
Full Text Available at
This item is under embargo {{howLong}}