Next Article in Journal
Key Points for an Ethical Evaluation of Healthcare Big Data
Previous Article in Journal
Flow Behavior and Hot Processing Map of GH4698 for Isothermal Compression Process
Open AccessArticle

Change of Data-Driven Drug Design Trends Through Patent Analysis

Department of Energy Resources Engineering, Inha University, Incheon 22212, Korea
*
Author to whom correspondence should be addressed.
Processes 2019, 7(8), 492; https://doi.org/10.3390/pr7080492
Received: 10 June 2019 / Revised: 14 July 2019 / Accepted: 23 July 2019 / Published: 1 August 2019
(This article belongs to the Section Computational Methods)
The pharmaceutical industry is one of the most research and development (R&D)-intensive industries. This industry has tried many strategies to overcome the limitations of a business model that had a high return and high risk. In recent years, the fourth industrial revolution has affected many industries, causing them to update their traditional production and business strategies to a “data science-based” approach. This data science methodology, based on the largely increased size of the data environment, has actively changed the pharmaceutical industry. Therefore, this study aimed to identify specific characteristics of data science innovation in the pharmaceutical industry through the analysis of patent data from the triadic patent databases from the United States, Japan, and Europe. View Full-Text
Keywords: data science; fourth industrial revolution; pharmaceutical; R&D; patent; innovation; technology data science; fourth industrial revolution; pharmaceutical; R&D; patent; innovation; technology
Show Figures

Figure 1

MDPI and ACS Style

Kim, J.-H.; Lee, Y.-G. Change of Data-Driven Drug Design Trends Through Patent Analysis. Processes 2019, 7, 492.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop