Adaptive Dynamic Networks as Models for the Immune System and Autocatalytic Sets
Open accessAbstract
A general class of network models is described that can be used to present complex adaptive systems. These models have two purposes: On a practical level they are closely based on real biological phenomena, and are intended to model detailed aspects of them. On a more general level, however, they provide a framework to address broader questions concerning evolution, pattern recognition, and other properties of living systems. This paper concentrates on the more general level, illustrating the basic concepts with two examples, a model of the immune system and a model for the spontaneous emergence of autocatalytic sets in a chemically reactive polymer soup. 10 refs., 3 figs.
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As NG goes up, the probability of catalytic closure approaches 1 in an example of increasingly long peptides.
“it has been demonstrated in an example of increasingly long peptides, that as NG goes up, the probability of catalytic closure will approach 1 [72].”
From Systems protobiology: origin of life in lipid catalytic networks (2018) · cites this paper as [72]
In “Autocatalytic sets of polymers” (page unavailable), the paper says it has demonstrated that autocatalytic sets can form on a virtual reaction graph, and that the model was conceived with polypeptides in mind. It does not report that increasing NG or peptide length makes the probability of catalytic closure approach 1. (LLM, conf=0.78)
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- Authors
- FARMER, J. D., KAUFFMAN, S. A., PACKARD, N. H., & PERELSON, A. S.
- Affiliations
- Los Alamos National Laboratory (US)
- University of Pennsylvania (US)
- Venue
- Annals of the New York Academy of Sciences
- Publisher
- Wiley
- Published
- 1987-07
- Volume
- 504
- Issue
- 1
- Pages
- 118-131
- ISSN
- 0077-8923 (ISSN-L)
- 1749-6632
- OpenAlex
- W1969306139
- Cited by
- 59
- References
- 8
- Citations by year
- 2021: 2 · 2020: 2 · 2019: 2 · 2018: 1 · 2017: 1 · 2015: 2 · 2014: 3 · 2012: 2
- FWCI
- 0.96
- Type
- journal article
- Language
- en
- Open access
- green
- www.osti.gov
- Locations
- Annals of the New York Academy of Sciences (publishedVersion)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Artificial Immune Systems Applications
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Systems and Dynamics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Cellular Automata and Applications
- Keywords
- complex adaptive systems, immune system modeling, autocatalytic sets, spontaneous emergence, evolution, pattern recognition, biological systems
- MeSH terms
- Antibody Diversity, Antigen-Antibody Reactions, Catalysis, Cell Communication, Immune System, Immunity, Cellular, Immunoglobulin Idiotypes, Immunologic Memory, Models, Biological, Models, Chemical, Polymers, Systems Theory, Thermodynamics
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