Literature DB >> 1638261

The study of combined action of agents using differential geometry of dose-effect surfaces.

G K Lam1.   

Abstract

Although graphic surfaces have been used routinely in the study of combined action of agents, they are mainly used for display purposes. In this paper, it is shown that useful mechanistic information can be obtained from an analytical study of these surfaces using the tools of differential geometry. From the analysis of some simple dose-effect surfaces, it is proposed that the intrinsic curvature, referred to in differential geometry as the Gaussian curvature, of a dose-effect surface can be used as a general criterion for the classification of interaction between different agents. This is analogous to the interpretation of the line curvature of a dose-effect curve as an indication of self-interaction between doses for an agent. In this framework, the dose-effect surface would have basic uniform fabric with zero curvature in the absence of interaction, tentatively referred to as null-interaction. Pictorially speaking, this fabric is distorted locally or globally like the stretching and shrinking of a rubber sheet by the presence of interaction mechanisms between different agents. Since self-interaction with dilution dummies does not generate intrinsic curvature, this criterion of null-interaction would describe the interaction between two truly different agents. It is shown that many of the published interaction mechanisms give rise to dose-effect surfaces with characteristic curvatures. This possible correlation between the intrinsic geometric curvature of dose-effect surfaces and the biophysical mechanism of interaction presents an interesting philosophical viewpoint for the study of combined action of agents.

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Year:  1992        PMID: 1638261     DOI: 10.1007/bf02459931

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  9 in total

1.  The problem of synergism and antagonism of combined drugs.

Authors:  S LOEWE
Journal:  Arzneimittelforschung       Date:  1953-06

2.  On the biophysical interpretation of the mathematical product of dose and relative biological effectiveness.

Authors:  G K Lam
Journal:  Phys Med Biol       Date:  1990-04       Impact factor: 3.609

3.  Analysis of interaction for mixtures of agents using the linear isobole.

Authors:  G K Lam
Journal:  Bull Math Biol       Date:  1989       Impact factor: 1.758

4.  The combined effects of mixtures of ionizing radiations.

Authors:  G K Lam
Journal:  J Theor Biol       Date:  1988-10-21       Impact factor: 2.691

5.  Terminology in the description of drug-radiation interactions.

Authors:  G G Steel
Journal:  Int J Radiat Oncol Biol Phys       Date:  1979-08       Impact factor: 7.038

6.  In vitro systems: standardization of endpoints.

Authors:  W C Dewey
Journal:  Int J Radiat Oncol Biol Phys       Date:  1979-08       Impact factor: 7.038

7.  Quantitative analysis of dose-effect relationships: the combined effects of multiple drugs or enzyme inhibitors.

Authors:  T C Chou; P Talalay
Journal:  Adv Enzyme Regul       Date:  1984

8.  The expected effect of a combination of agents: the general solution.

Authors:  M C Berenbaum
Journal:  J Theor Biol       Date:  1985-06-07       Impact factor: 2.691

9.  General models for the joint action of mixtures of drugs.

Authors:  J R Ashford
Journal:  Biometrics       Date:  1981-09       Impact factor: 2.571

  9 in total
  1 in total

1.  The differential aspects of the linear isobole in the study of combined action of agents.

Authors:  G K Lam
Journal:  Bull Math Biol       Date:  1993-03       Impact factor: 1.758

  1 in total

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