Skip to main content

Lipoprotein Kinetics and Modeling

  • 1st Edition - January 28, 1982
  • Editor: Mones Berman
  • Language: English
  • eBook ISBN:
    9 7 8 - 0 - 3 2 3 - 1 4 7 6 4 - 4

Lipoprotein Kinetics and Modeling contains some of the papers presented at a conference on the analysis and modeling of lipoprotein kinetic data held in Phoenix, Arizona.… Read more

Lipoprotein Kinetics and Modeling

Purchase options

LIMITED OFFER

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code is needed.

Institutional subscription on ScienceDirect

Request a sales quote
Lipoprotein Kinetics and Modeling contains some of the papers presented at a conference on the analysis and modeling of lipoprotein kinetic data held in Phoenix, Arizona. Contributions from both theorists and experimentalists who attended the conference focus on the developments in the use of mathematical modeling in analyzing the lipoprotein kinetics. The conference highlights the role of kinetic modeling in elucidating the dynamic processes involved in lipoprotein metabolism, the result of improper data analysis that can lead to erroneous physiological interpretations, and the emerging complexities in the lipoprotein system. Organized into six sections comprised of 37 chapters, this book begins with an overview of the theory and applications of kinetic analysis and modeling to lipoproteins. It then discusses the role of kinetic modeling in physiology, the kinetics of apoprotein B in humans, the use of kinetics in investigating the metabolism of very low and intermediate-density lipoproteins, and the models of plasma lipoprotein triglyceride kinetics. It explains the cholesterol kinetics and modeling, the kinetics of high density lipoprotein metabolism in humans, and various techniques for the analysis and modeling of lipoprotein kinetic data such as KABIS (kinetic analysis by interactive simulation) and CONSAM (conversational version of the SAAM modeling program). This book will be of interest to biologists, physiologists, clinical researchers and experts in computer technology and mathematics.