Determination of Binding Constants of Water Soluble Chemicals for Biologically Based Kinetic Models

Abstract

The interaction of exogenous chemicals (xenobiotics) with endogenous biomolecules can modulate the kinetics of that chemical in biological systems. The purpose of this report is to provide a fundamental understanding of the underlying mathematical and experimental principles involved in describing these interactions. The theoretical basis of the interaction of xenobiotics with binding sites located on endogenous molecules are discussed in the context of the following scenarios: (i) interaction between a single chemical and a single class of binding sites, (il) interaction between a single chemical and multiple classes of binding sites, (iii) interactions between multiple chemicals and a single class of binding sites. Each of these situations is analyzed in the context of the reaction mechanisms involved and the mathematical description of those reactions. Experimental approaches to evaluating the basic mechanisms of binding and estimation of binding parameters using titration experiments and inhibition experiments are described. Practical instructions are provided for the conduct and interpretation of these experiments. The relationship between theoretical considerations and practical experimental consequences are highlighted.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1998
Accession Number
ADA384696

Entities

People

  • Brent Foy
  • Jacoba H. Toxopeus
  • John M. Frazier
  • Michael Pelekis

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Albumins
  • Blood Proteins
  • Cellular Structures
  • Chemical Kinetics
  • Complex Mixtures
  • Data Analysis
  • Differential Equations
  • Enzyme Kinetics
  • Equations
  • Experimental Data
  • Inhibition
  • Kinetics
  • Linear Regression Analysis
  • Military Research
  • Molecules

Readers

  • Computational Modeling and Simulation
  • Immunology
  • Systems Analysis and Design