Literature DB >> 9405131

Deriving shape space parameters from immunological data.

D J Smith1, S Forrest, R R Hightower, A S Perelson.   

Abstract

We present a method for deriving shape space parameters that are consistent with immunological data, and illustrate the method by deriving shape space parameters for a model of cross-reactive memory. Cross-reactive memory responses occur when the immune system is primed by one strain of a pathogen and challenged with a related, but different, strain. Much of the nature of a cross-reactive response is determined by the quantity and distribution of the memory cells, raised to the primary antigen, that cross-react with the secondary antigen. B cells with above threshold affinity for an antigen lie in a region of shape space that we call a ball of stimulation. In a cross-reactive response, the intersection of the balls of stimulation of the primary and secondary antigens contains the cross-reactive B cells and thus determines the degree of cross-reactivity between the antigens. We derive formulas for the volume of intersection of balls of stimulation in different shape spaces and show that the parameters of shape space, such as its dimensionality, have a large impact on the number of B cells in the intersection. The application of our method for driving shape space parameters indicates that, for Hamming shape spaces, 20 to 25 dimensions, a three or four letter alphabet, and balls of stimulation of radius five or six, are choices that match the experimental data. For Euclidean shape spaces, five to eight dimensions and balls of stimulation with radius about 20% of the radius of the whole space, match the experimental data.

Mesh:

Substances:

Year:  1997        PMID: 9405131     DOI: 10.1006/jtbi.1997.0495

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  19 in total

1.  Variable efficacy of repeated annual influenza vaccination.

Authors:  D J Smith; S Forrest; D H Ackley; A S Perelson
Journal:  Proc Natl Acad Sci U S A       Date:  1999-11-23       Impact factor: 11.205

2.  Self-organization and evolution in a simulated cross catalyzed network.

Authors:  A Hunding; R Engelhardt
Journal:  Orig Life Evol Biosph       Date:  2000-10       Impact factor: 1.950

3.  Dynamics and selection of many-strain pathogens.

Authors:  Julia R Gog; Bryan T Grenfell
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-12       Impact factor: 11.205

4.  Activation-threshold tuning in an affinity model for the T-cell repertoire.

Authors:  Almut Scherer; André Noest; Rob J de Boer
Journal:  Proc Biol Sci       Date:  2004-03-22       Impact factor: 5.349

5.  Molecular shape and electrostatics in the encoding of relevant chemical information.

Authors:  Anthony Nicholls; J Andrew Grant
Journal:  J Comput Aided Mol Des       Date:  2005-11-23       Impact factor: 3.686

6.  Diversity emergence and dynamics during primary immune response: a shape space, physical space model.

Authors:  John Burns; Heather J Ruskin
Journal:  Theory Biosci       Date:  2004-09       Impact factor: 1.919

7.  Simulation of B cell affinity maturation explains enhanced antibody cross-reactivity induced by the polyvalent malaria vaccine AMA1.

Authors:  Sidhartha Chaudhury; Jaques Reifman; Anders Wallqvist
Journal:  J Immunol       Date:  2014-07-30       Impact factor: 5.422

8.  High dimensional random walks can appear low dimensional: Application to influenza H3N2 evolution.

Authors:  James Moore; Hasan Ahmed; Rustom Antia
Journal:  J Theor Biol       Date:  2018-03-21       Impact factor: 2.691

9.  Optimal immunization cocktails can promote induction of broadly neutralizing Abs against highly mutable pathogens.

Authors:  J Scott Shaffer; Penny L Moore; Mehran Kardar; Arup K Chakraborty
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-24       Impact factor: 11.205

10.  Competitive exclusion by autologous antibodies can prevent broad HIV-1 antibodies from arising.

Authors:  Shishi Luo; Alan S Perelson
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-31       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.