Abstract
Computational methods have provided pharmaceutical scientists and engineers a means to go beyond what's possible with experimental testing alone. Providing a means to study active pharmaceutical ingredients (API), excipients, and drug interactions at or near-atomic levels. This paper provides a review of this and other innovative computational methods used for solving pharmaceutical problems throughout the drug development process. Part one of two this paper will emphasize the role of computational methods and game theory in solving pharmaceutical challenges.
Document Type
Review
Publication Date
8-2021
Funding Information
The work described was supported in part by the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant UL1TR001998, and through NSF ACI-1053575 allocation number BIO170011. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. We also acknowledge the support of the University of Kentucky Department of Pharmaceutical Sciences.
Repository Citation
Campbell, Heather R. and Lodder, Robert A., "Innovative Computational Methods for Pharmaceutical Problem Solving a Review Part I: The Drug Development Process" (2021). Pharmaceutical Sciences Faculty Publications. 169.
https://uknowledge.uky.edu/ps_facpub/169
Included in
Computational Engineering Commons, Computer Sciences Commons, Pharmacy and Pharmaceutical Sciences Commons
Notes/Citation Information
Published in CIC Pharmaceutical Sciences.
© 2021 Authors
The copyright holders have granted the permission for posting the article here.
This article is subject to post-publication peer reviews via CIC Pharmaceutical Sciences and thus may have a revised version with a later publication date.