Cybernetic Approach to Metabolic Modeling
Originally delivered Mar 10, 2011
- Type: Archived Webinar
Cybernetic modeling has evolved for well over two decades. This seminar seeks to: (i) introduce its basic tenets, (ii) expound its relationship to other approaches to modeling metabolism, and (iii) to reveal its unique dynamic capabilities. The framework is shown to provide eloquent support for goal-oriented explanations of regulatory biological phenomena within the cause-and-effect methodology of science through experimental conformation of exacting predictions. It is further shown that relatively sparse dynamic data on wild-type strains suffice to predict the dynamic behavior of numerous gene knockout mutant strains providing a promising framework for metabolic engineering with the focus on productivity of targeted products.
Dr. Doraiswami Ramkrishna is H. C. Peffer Distinguished Professor of Chemical Engineering at Purdue University since 1994. Since receiving his B.(Chem).Eng. from the University of Bombay in 1960, he obtained his PhD from the University of Minnesota in 1965. After two years of being an Assistant Professor at the University of Minnesota, he joined the faculty at the Indian Institute of Technology at Kanpur, India where he served until 1974. Following two years of visiting appointments at the Universities of Wisconsin and Minnesota, he joined as a Full Professor of Chemical Engineering at...Read more
You will be able to download and print a certificate for PDH credits once the content has been viewed. If you have already viewed this content, please click here to login.
Do you already own this?
Log In for instructions on accessing this content.
|AIChE Member Credits||1|
|AIChE Undergraduate Student Members||Free|
|AIChE Graduate Student Members||Free|
Webinar content is available with the kind permission of the author(s) solely for the purpose of furthering AIChE’s mission to educate, inform and improve the practice of professional chemical engineering. All other uses are forbidden without the express consent of the author(s).