The Ethics of the Drug Discovery and Development Process

2003 ◽  
pp. 45-60
Author(s):  
Roger G. Bolton
Keyword(s):  
Drug Discovery ◽  
Development Process ◽  
Drug Discovery And Development

Incorporating the assessment of abuse liability into the drug discovery and development process

2003 ◽  
Vol 70 (3) ◽  
pp. S73-S85 ◽  
Author(s):  
Robert S. Mansbach ◽  
Douglas E. Feltner ◽  
Lisa H. Gold ◽  
Sidney H. Schnoll
Keyword(s):  
Drug Discovery ◽  
Development Process ◽  
Abuse Liability ◽  
Drug Discovery And Development

Making medicines

2018 ◽  
Vol 32 (5) ◽  
pp. 302-311 ◽  
Author(s):  
Elizabeth K. McClain ◽  
Yolanda Johnson-Moton ◽  
Bryan Larsen ◽  
Rebecca J. Bartlett Ellis ◽  
Eric Niederhoffer
Keyword(s):  
Drug Discovery ◽  
Pharmaceutical Industry ◽  
Development Process ◽  
Course Development ◽  
Educational Partnerships ◽  
Collaborative Process ◽  
Drug Discovery And Development ◽  
Online Module ◽  
Systems Thinking Approach

The approach to building innovative partnerships between academia and the pharmaceutical industry has expanded to investigate collaborations that offer meaningful outcomes beyond discovery and increased productivity. This case study uses a systems thinking approach to guide the process and analyse the outcome of a partnership undertaken by one pharmaceutical company and academia. The collaborative process established three tiers of evolution over a 3-year period. The outcome was an online module–based course, entitled ‘Making Medicines: The Process of Drug Development’, that provides information about the drug discovery and development process. Both the course development and the final product serve as a useful case study of how collaboration between academia and industry might be achieved. The development process itself is proposed as an appropriate approach for building educational partnerships.

scholarly journals The Stages of Drug Discovery and Development Process

2019 ◽  
Vol 7 (6) ◽  
pp. 62-67 ◽  
Author(s):  
Amol B Deore ◽  
Jayprabha R Dhumane ◽  
Rushikesh Wagh ◽  
Rushikesh Sonawane
Keyword(s):  
Clinical Trials ◽  
Drug Discovery ◽  
Drug Development ◽  
Development Process ◽  
Regulatory Requirements ◽  
Drug Discovery And Development ◽  
Biological Targets ◽  
New Drug ◽  
Initial Discovery ◽  
New Research

Drug discovery is a process which aims at identifying a compound therapeutically useful in curing and treating disease. This process involves the identification of candidates, synthesis, characterization, validation, optimization, screening and assays for therapeutic efficacy. Once a compound has shown its significance in these investigations, it will initiate the process of drug development earlier to clinical trials. New drug development process must continue through several stages in order to make a medicine that is safe, effective, and has approved all regulatory requirements. One overall theme of our article is that the process is sufficiently long, complex, and expensive so that many biological targets must be considered for every new medicine ultimately approved for clinical use and new research tools may be needed to investigate each new target.  From initial discovery to a marketable medicine is a long, challenging task. It takes about 12 - 15 years from discovery to the approved medicine and requires an investment of about US $1 billion. On an average, a million molecules screened but only a single is explored in late stage clinical trials and is finally made obtainable for patients. This article provides a brief outline of the processes of new drug discovery and development.   

Application of Bayesian Network in Drug Discovery and Development Process

2007 ◽  
pp. 254-268
Author(s):  
Arunkumar Chinnasamy ◽  
Sudhanshu Patwardhan ◽  
Wing-Kin Sung
Keyword(s):  
Drug Discovery ◽  
Bayesian Networks ◽  
Graphical Models ◽  
Development Process ◽  
Human Life ◽  
Great Success ◽  
Mortality And Morbidity ◽  
Drug Discovery And Development ◽  
Health And Disease ◽  
Intelligent Tools

The end of the 20th century and the advent of the new millennium have brought in a true merger of sciences for the benefit of mankind. The biggest promise it holds is that of improving the quality of human life by the discovery of newer medicines and better cures for diseases such as cancer and heart disease. Pharmaceutical companies and academic institutions alike have not failed to deliver on part of the promise by bringing out technologies and products that have significantly decreased mortality and morbidity associated with these diseases. An increase in the scale and complexity of the technologies has made it increasingly important to develop intelligent tools to analyze their output, and numerous mathematical and statistical techniques have been explored and exploited to do exactly this. Bayesian networks (BN) and similar graphical models for multivariate analysis are being used for analyzing these data with great success. They have made possible a high resolution insight into disease mechanisms like never before. These insights into the biological processes of health and disease have helped identify the appropriate targets for drug discovery and aided in the process of bringing better drugs faster to the market for patients in need. This chapter briefly explains the application and contribution of Bayesian networks to the drug discovery and development process.

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