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Complex physical properties of a self-organizing biological system [article]

Jozsef Prechl
2021 arXiv   pre-print
that a fractal scale-free network distributes energy through the system.  ...  In the physical sense the adaptive immune system adjusts the chemical potential of all available molecules by tuning the chemical potential and organizing the network hierarchy of its sensor-effector molecules  ...  (23) scale-free networks can follow a trajectory in network morphospace from homogenous, non-modular towards heterogenous modular network organization.  ... 
arXiv:2107.13195v1 fatcat:aop7r3bt35c6ffvme6w5mx4zvm

Immune Network: An Example of Complex Adaptive Systems [article]

Debashish Chowdhury
1998 arXiv   pre-print
In recent years several possible scenarios of the "structure" and function of the immune network have been considered.  ...  Some of the lymphocytes activated during the primary response remain dormant and keep circulating in the immune system for a long time carrying the memory of the encounter and, therefore, these long-lived  ...  Stauffer for enjoyable collaborations over almost a decade on the modelling of immune networks and for his comments on an earlier version of the manuscript.  ... 
arXiv:cond-mat/9803033v1 fatcat:5qfz74xipzhd7bzfhxtgjtteba

Dynamic stability in random and scale-free B-lymphocyte networks

Leonardo C. Ribeiro, Ronald Dickman, Américo T. Bernardes, Nelson M. Vaz
2007 Physical Review E  
Our results suggest that a scale-free network of interactions contributes to the regulation and dynamics of the immune system.  ...  We propose a minimal network model for immune regulation in a lymphocyte network containing two types of elements: B lymphocytes and ligands that bind to their receptors.  ...  ACKNOWLEDGMENTS We are grateful to CNPq and Fapemig, Brazil, for financial support ͑Grant No. 30.5043/2003-0 to N. Vaz͒.  ... 
doi:10.1103/physreve.75.031911 pmid:17500730 fatcat:zvtvyp6a4vc5tatfidzf7pbop4

Scaling laws describe memories of host–pathogen riposte in the HIV population

John P. Barton, Mehran Kardar, Arup K. Chakraborty
2015 Proceedings of the National Academy of Sciences of the United States of America  
We thank Karthik Shekhar for analyzing haplotype data and pointing out power law scaling of haplotype frequencies.  ...  This research was funded by the Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard.  ...  These sets of sequences represent stored memories of host-pathogen combat won by the virus (analogous to neural networks) and obey power law scaling.  ... 
doi:10.1073/pnas.1415386112 pmid:25646424 pmcid:PMC4343148 fatcat:dccqelvyffg5znk262jjx6dlyy

Swarm Negative Selection Algorithm for Electroencephalogram Signals Classification

Nasser Omer Sahel Ba-Karait, Siti Mariyam Shamsuddin, Rubita Sudirman
2009 Journal of Computer Science  
The SNS classification model use negative selection and PSO algorithms to form a set of memory Artificial Lymphocytes (ALCs) that have the ability to distinguish between normal and epileptic EEG patterns  ...  Approach: The proposed detection system of epileptic seizure in EEG signals is based on Discrete Wavelet Transform (DWT) and Swarm Negative Selection (SNS) algorithm.  ...  There are many different types of algorithms within AIS and research to date has focused primarily on the theories of immune networks, clonal selection and negative selection.  ... 
doi:10.3844/jcssp.2009.995.1002 fatcat:hdxf4i2qafhnva2i3hu3dkxkum

Unsupervised remote sensing image classification using an artificial immune network

Yanfei Zhong, Liangpei Zhang, Wei Gong
2011 International Journal of Remote Sensing  
The proposed method can adaptively obtain some user-defined parameters, such as clone rate and mutation rate, and evolve the memorial immune network by immune operators and biological properties, such  ...  In this article, the artificial immune network (aiNet) model, a computational intelligent approach based on artificial immune networks (AINs), is applied to remote sensing image processing to improve its  ...  Acknowledgements The authors thank the editor and the two anonymous reviewers. Their insightful suggestions have significantly improved this article.  ... 
doi:10.1080/01431161.2010.502155 fatcat:fsccipkstvdndjitmmnoxqfccq

Network Organization of Antibody Interactions in Sequence and Structure Space: the RADARS Model

József Prechl
2020 Antibodies  
Equilibrium in this immunological thermodynamic system can be described by a power law distribution of antibody-free energies with an ideal network degree exponent of phi square, representing a scale-free  ...  Adaptive immunity in vertebrates is a complex self-organizing network of molecular interactions.  ...  Acknowledgments: The paper is dedicated to my first mentor in molecular biology and antibody cloning, István Kurucz. The author is partly supported by VEKOP 2.1.1-15-00098 grant to Diagnosticum.  ... 
doi:10.3390/antib9020013 pmid:32384800 fatcat:3b3rjwm4vfhgvj6mv7galdib2i

An Immunologically-Inspired Adaptation Mechanism for Evolvable Network Applications

Chonho Lee, Junichi Suzuki
2007 2007 4th IEEE Consumer Communications and Networking Conference  
Large-scale network applications are expected to be more autonomous and adaptive to dynamic changes in the network to improve user experience, expand applications' operational longevity and reduce maintenance  ...  autonomous and adaptive network applications. iNet is designed after the mechanisms behind how the immune system works. iNet models a set of environment conditions (e.g., network traffic and resource  ...  increasing in complexity and scale [1, 2, 3] .  ... 
doi:10.1109/ccnc.2007.91 dblp:conf/ccnc/LeeS07 fatcat:uylnm52hgjhttnczxkheobsb6e

Adaptive ratchets and the evolution of molecular complexity [article]

Tom Röschinger, Roberto Morán Tovar, Simone Pompei, Michael Lässig
2021 arXiv   pre-print
Site sequences are shown to evolve in a specific adaptive ratchet, which produces selection of different strength for code extensions and compressions.  ...  Our analysis shows how molecular complexity can evolve as a collateral to selection for function in a dynamic environment.  ...  This work was supported by Deutsche Forschungsgemeinschaft grant CRC 1310 "Predictability in Evolution".  ... 
arXiv:2111.09981v1 fatcat:xwsqabzo6vdyjfvubf5qbbtyma

Adaptive ratchets and the evolution of molecular complexity [article]

Tom Röschinger, Roberto Morán Tovar, Simone Pompei, Michael Lässig
2021 bioRxiv   pre-print
Site sequences are shown to evolve in a specific adaptive ratchet, which produces selection of different strength for code extensions and compressions.  ...  Our analysis shows how molecular complexity can evolve as a collateral to selection for function in a dynamic environment.  ...  This work was supported by Deutsche Forschungsgemeinschaft grant CRC 1310 "Predictability in Evolution".  ... 
doi:10.1101/2021.11.18.469165 fatcat:okf57aqmzbac5f4magkcunymye

Flexible imitation suppresses epidemics through better vaccination [article]

Soya Miyoshi, Marko Jusup, Petter Holme
2020 arXiv   pre-print
We do this by proposing a minimalistic model using components from game theory, network theory and the modelling of epidemic spreading, and opinion dynamics.  ...  It involves the contribution both to a social good -- herd immunity -- and to one's own well being. It is informed by social influence, personal experience, education, and mass media.  ...  J. and P. H. devised research. S. M. performed research. All authors discussed the results and wrote the manuscript. Conflict of interest Authors declare no conflict of interest.  ... 
arXiv:2009.00443v2 fatcat:geajv3qnm5hsfktzusfkm3l3sa

Cryptographic Nature [article]

David Krakauer
2015 arXiv   pre-print
I consider the many ways in which evolved information-flows are restricted and metabolic resources protected and hidden -- the thesis of living phenomena as evolutionary cryptosystems.  ...  I present the information theory of secrecy systems and discuss mechanisms acquired by evolved lineages that encrypt sensitive heritable information with random keys.  ...  Thereby trypanosomes give the appearance of randomness to each immune system that they encounter and reduce the ability of immune memory to mount an effective response to new infections.  ... 
arXiv:1505.01744v1 fatcat:le755fl4ebamxgfk4rx6lcsmw4

High Performance Immune Clonal Algorithm for Solving Large Scale TSP [chapter]

Fang Liu, Yutao Qi, Jingjing Ma, Maoguo Gong, Ronghua Shang, Yangyang Li, Licheng Jiao
2010 Traveling Salesman Problem, Theory and Applications  
Conclusion This chapter first introduces the immune system and immune optimization algorithm, and then proposes the parallel immune memory clonal selection algorithm (PIMCSA) for solving large scale TSP  ...  Common artificial immune algorithms include the following four types: artificial immune network algorithm, negative selection algorithm, immune evolutionary algorithm and immune clonal selection algorithm  ...  It brings together researchers with applications in Artificial Immune Systems, Genetic Algorithms, Neural Networks and Differential Evolution Algorithm.  ... 
doi:10.5772/13034 fatcat:hpzuqvzlq5ce3kid3e2om6zcsm

Enhancing network cluster synchronization capability based on artificial immune algorithm

Tinggui Chen, Jiawen Shi, Jianjun Yang, Gongfa Li
2019 Human-Centric Computing and Information Sciences  
To overcome these limitations of current work, we explore the optimization of network structure with artificial immune algorithms under the condition of a constant network scale and finally realize the  ...  On the other hand, the connection between nodes and edges in the network is cut off to avoid the occurrence of negative synchronous behaviors. which permits unrestricted use, distribution, and reproduction  ...  In 1999, Barabasi and Alber [11] proposed a scale-free network model (BA). In 2018, considering the heterogeneity among communities, Li et al.  ... 
doi:10.1186/s13673-019-0164-y fatcat:3pzvetd6nzfwnipcfrzh6fzvry

Flexible imitation suppresses epidemics through better vaccination

Soya Miyoshi, Marko Jusup, Petter Holme
2021 Journal of Computational Social Science  
We do this by proposing a minimalistic model using components from game theory, network theory and the modelling of epidemic spreading, and opinion dynamics.  ...  It involves the contribution both to a social good-herd immunity-and to one's own well-being. It is informed by social influence, personal experience, education, and mass media.  ...  JP 18H01655 and JP 20H04288. JSPS stands for the Japan Society for the Promotion of Science.  ... 
doi:10.1007/s42001-021-00105-z pmid:33615019 pmcid:PMC7882238 fatcat:ercxnhez75ap3hyupacanrpbii
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