https://scigraph.springernature.com/explorer/license/
idiotypic network
insights
signals
interaction
B cell clones
interpretation
https://doi.org/10.1007/978-3-642-83935-1_4
means
1989
immunological insights
system
present interpretation
Extensive Percolation in Reasonable Idiotypic Networks
network model
fundamental assumptions
extensive percolation
results
26-37
clones
perturbations
idiotypic interactions
1989-01-01
true
assumption
network structure
chapter
model
structure
network
mathematical model
behavior
percolation
immune system
cell clones
We analyse a mathematical model specifying profound networks of idiotypic interactions amongst B cell clones. In the model we incorporate only fundamental assumptions about idiotypic interactions. Nevertheless, this “reasonable” idiotypic network model displays very “unreasonable” behaviour. As soon as the network is formulated as a profound network structure it displays “extensive percolation” of idiotypic signals. Thus the first antigenic perturbation of the network is expected to affect most of the clones. We have attempted to solve these problems by extending the model with seemingly important theoretical and/or immunological insights, but as yet we have failed. Therefore, our present interpretation of these “unrealistic” results is that immune systems do not function by means of profound network structures.
2022-11-24T21:19
idiotypic network model
chapters
problem
Applied Mathematics
978-3-642-83935-1
978-3-642-83937-5
Theories of Immune Networks
Cohen
Irun R.
10.1007/978-3-642-83935-1_4
doi
dimensions_id
pub.1004769583
Springer Nature
Bioinformatics Group, University of Utrecht, Padualaan 8, NL-3584 CH, Utrecht, The Netherlands
Bioinformatics Group, University of Utrecht, Padualaan 8, NL-3584 CH, Utrecht, The Netherlands
Atlan
Henri
Mathematical Sciences
R. J.
De Boer
Springer Nature - SN SciGraph project