Literature DB >> 4040052

The X----Y----Z scheme after 23 years.

M Jílek, D Prikrylová.   

Abstract

Mathematical modelling of the course of the immune response is undoubtedly one of the most progressive and most promising areas of modern immunology. Mathematical models (along with computer programs) can be taken as "the only means of thoroughly testing and examining a large and intricate theory" (Partridge et al. 1984). The first phase of construction of mathematical models is the formulation of assumptions based on the knowledge of the facts to be modelled (manifested usually in a scheme of the presumed course of the modelled process). The first mathematical models of immune response were based on the hypothesis of a two-stage differentiation of cells participating in the humoral response, published in Prague 23 years ago (Sercarz and Coons 1962; Sterzl 1962) and illustrated by the X----Y----Z scheme. Many contemporary mathematical models still stem from this scheme which undoubtedly fits the fundamental data concerning the immune system.

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Year:  1985        PMID: 4040052     DOI: 10.1007/bf02923524

Source DB:  PubMed          Journal:  Folia Microbiol (Praha)        ISSN: 0015-5632            Impact factor:   2.099


  17 in total

1.  Optimal strategies in immunology. I. B-cell differentiation and proliferation.

Authors:  A S Perelson; M Mirmirani; G F Oster
Journal:  J Math Biol       Date:  1976-11-25       Impact factor: 2.259

2.  Biology and the axiomatic method.

Authors:  J H WOODGER
Journal:  Ann N Y Acad Sci       Date:  1962-03-02       Impact factor: 5.691

3.  Mathematical model of clonal selection and antibody production.

Authors:  G I Bell
Journal:  J Theor Biol       Date:  1970-11       Impact factor: 2.691

4.  Mathematical model of immune processes.

Authors:  B F Dibrov; M A Livshits; M V Volkenstein
Journal:  J Theor Biol       Date:  1977-04-21       Impact factor: 2.691

5.  A computer simulation of the cellular kinetics of the thymus-independent humoral immune response.

Authors:  J R Lumb; L M Morrison
Journal:  Comput Biomed Res       Date:  1981-06

6.  The dynamics of antibody secreting cell production: regulation of growth and oscillations in the response to T-independent antigens.

Authors:  Z Grossman; R Asofsky; C DeLisi
Journal:  J Theor Biol       Date:  1980-05-07       Impact factor: 2.691

7.  Mathematical modeling in immunology.

Authors:  C DeLisi
Journal:  Annu Rev Biophys Bioeng       Date:  1983

8.  Towards a network theory of the immune system.

Authors:  N K Jerne
Journal:  Ann Immunol (Paris)       Date:  1974-01

9.  Mathematical model of immune processes. II. Kinetic features of antigen-antibody interrelations.

Authors:  B F Dibrov; M A Livshits; M V Volkenstein
Journal:  J Theor Biol       Date:  1977-11-07       Impact factor: 2.691

10.  A mathematical model relating circulating antibody and antibody forming cells.

Authors:  J S Hege; L J Cole
Journal:  J Immunol       Date:  1966-07       Impact factor: 5.422

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