Critical behavior in a stochastic model of vector mediated epidemics

Alfinito, Eleonora; Beccaria, Matteo; Macorini, Guido

doi:10.1038/srep27202

Cited by 9 publications

(8 citation statements)

References 35 publications

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“…It can also be applied to actual specific diseases, e.g. TBC, Xylella fastidiosa (Alfinito et al, 2016) or Ebola infections. In doing this, more realistic propagation models, like the delayed SIR considered in (Agliari et al, 2013) and a detailed cost benefit analysis are needed.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Probing Complexity with Epidemics: A New Reactive Immunization Strategy

Alfinito¹,

Beccaria²,

Fachechi³

et al. 2017

Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk

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Epidemic evolution on complex networks strongly depends on their topology and the infection dynamical properties, as highly connected nodes and individuals exposed to the contagion have competing roles in the disease spreading. In this spirit, we propose a new immunization strategy exploiting the knowledge of network geometry and dynamical information about the spreading infection. The flexibility and effectiveness of the proposed scheme are successfully tested with numerical simulations on a wide set of complex networks.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Probing Complexity with Epidemics: A New Reactive Immunization Strategy

Alfinito¹,

Beccaria²,

Fachechi³

et al. 2017

Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk

Self Cite

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show abstract

“…its diffusion conveys the presence of bottlenecks, dead ends, and so on. The monitoring of the resistance was shown as an effective method to explore the global topological properties of the structure, ,, and the spreading of an epidemic on a complex network gives information on the network itself …”

Section: Methodsmentioning

confidence: 99%

Assessing the Quality of in Silico Produced Biomolecules: The Discovery of a New Conformer

et al. 2019

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The computational procedures for predicting the 3D structure of aptamers interacting with different biological molecules have gained increasing attention in recent years. The information acquired through these methods represents a crucial input for research, especially when relevant crystallographic data are not available. A number of software programs able to perform macromolecular docking are currently accessible, leading to the prediction of the quaternary structure of complexes formed by two or more interacting biological macromolecules. Nevertheless, the scoring protocols employed for ranking the candidate structures do not always produce satisfactory results, making difficult the identification of structures that are most likely to occur in nature. In this paper, we propose a novel procedure to improve the predictive performances of computational scoring protocols, using a maximum likelihood estimate based on topological and electrical properties of interacting biomolecules. The reliability of the new computational approach, enabling the ranking of aptamer−protein configurations produced by an open source docking program, has been assessed by its successful application to a set of antiangiopoietin aptamers, for which experimental data highlighting the sequence-dependent affinity toward the target protein are available. The procedure led to the identification of two main types of aptamer conformers involved in angiopoietin binding. Interestingly, one of these reproduces the arrangement of angiopoietin with its natural target, tyrosine kinase, while the other one is completely unexpected. The possible scenarios related to these results have been discussed. The methodology here described can be used to refine the outcomes of different computational procedures and can be applied to a wide range of biological molecules, thus representing a new tool for guiding the design of bioinspired sensors with enhanced selectivity.

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“…A complete investigation, along the lines of what was made e.g. in [23,24] is left for future work. Nevertheless, as a preliminary comparison, we present in Figure 3, simulations performed on a 50x50 square network.…”

Section: Dying Modelmentioning

confidence: 99%

Did Maxwell Dream of Electrical Bacteria?

2022

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We propose a model for bacterial Quorum Sensing based on an auxiliary electrostatic-like interaction originating from a fictitious electrical charge that represents bacteria activity. A cooperative mechanism for charge/activity exchange is introduced to implement chemotaxis and replication. The bacteria system is thus represented by means of a complex resistor network where link resistances take into account the allowed activity-flow among individuals. By explicit spatial stochastic simulations, we show that the model exhibits different quasi-realistic behaviors from colony formation to biofilm aggregation. The electrical signal associated with Quorum Sensing is analyzed in space and time and provides useful information about the colony dynamics. In particular, we analyze the transition between the planktonic and colony phases as the intensity of Quorum Sensing is varied.

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Critical behavior in a stochastic model of vector mediated epidemics

Cited by 9 publications

References 35 publications

Probing Complexity with Epidemics: A New Reactive Immunization Strategy

Probing Complexity with Epidemics: A New Reactive Immunization Strategy

Assessing the Quality of in Silico Produced Biomolecules: The Discovery of a New Conformer

Did Maxwell Dream of Electrical Bacteria?

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