Open AccessApplication of a Dynamic Map for Learning, Communicating, Navigating, and Improving Therapeutic Development
Author(s) -
Wagner John A.,
Dahlem Andrew M.,
Hudson Lynn D.,
Terry Sharon F.,
Altman Russ B.,
Gilliland C. Taylor,
DeFeo Christopher,
Austin Christopher P.
Publication year - 2018
Publication title -
clinical and translational science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.303
H-Index - 44
eISSN - 1752-8062
pISSN - 1752-8054
DOI - 10.1111/cts.12531
Subject(s) - software deployment , computer science , schema (genetic algorithms) , data science , drug development , pipeline (software) , drug discovery , process (computing) , software engineering , medicine , drug , bioinformatics , machine learning , psychiatry , biology , programming language , operating system
Drug discovery and development is commonly schematized as a “pipeline,” and, although appreciated by drug developers to be a useful oversimplification, this cartology may perpetuate inaccurate notions of straightforwardness and is of minimal utility for process engineering to improve efficiency. To create a more granular schema, a group of drug developers, researchers, patient advocates, and regulators developed a crowdsourced atlas of the steps involved in translating basic discoveries into health interventions, annotated with the steps that are particularly prone to difficulty or failure. This Drug Discovery, Development, and Deployment Map (4DM), provides a network view of the process, which will be useful for communication and education to those new to the field, orientation and navigation of individual projects, and prioritization of technology development and re‐engineering endeavors to improve efficiency and effectiveness. The 4DM is freely available for utilization, modification, and further development by stakeholders across the translational ecosystem.