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Related Concept Videos

Cooperative Allosteric Transitions01:58

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The histone proteins in the nucleosomes are post-translationally modified (PTM) to increase or decrease access to DNA. The commonly observed PTMs are methylation, acetylation, phosphorylation, and ubiquitination of lysine amino acids in the histone H3 tail region. These histone modifications have specific meaning for the cell. Hence, they are called "histone code". The protein complex involved in histone modification is termed as "reader-writer" complex.
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Surface Spreading and Immunostaining of Yeast Chromosomes
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Cooperative epidemics spreading under resource control.

Jiayang Li1, Chun Yang1, Chuanji Fu2

  • 1School of Mathematical Science, University of Electronic Science and Technology of China, Chengdu 611731, China.

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|December 4, 2018
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Summary
This summary is machine-generated.

Public resource allocation is key for controlling infectious diseases. This study introduces a model showing limited resources may require prioritizing the less infectious disease for better outcomes.

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Area of Science:

  • Epidemiology
  • Network Science
  • Mathematical Biology

Background:

  • Public resource input and allocation are critical for infectious disease outbreak suppression.
  • Previous multi-disease dynamics research has largely overlooked the impact of resource management.

Purpose of the Study:

  • To propose and analyze a two-epidemic spreading model incorporating resource control.
  • To investigate how resource allocation strategies affect disease dynamics and outcomes.

Main Methods:

  • Developed a two-epidemic spreading model with resource-dependent recovery rates.
  • Introduced a parameter to regulate resource allocation between the two diseases.
  • Employed the dynamical message passing method for analysis.
  • Validated findings on Erdős-Rényi (ER) and scale-free networks.

Main Results:

  • Identified resource thresholds for both diseases.
  • Demonstrated that network heterogeneity promotes the spread of both diseases.
  • Found optimal resource allocation coefficients across different resource levels.
  • Observed that preferential suppression of the lower-infection-rate disease is optimal under limited resources.
  • Determined that strong inter-disease interaction homogenizes disease infectivity.

Conclusions:

  • Resource management significantly impacts multi-disease dynamics, offering novel control strategies.
  • Network structure, particularly heterogeneity, plays a crucial role in disease propagation.
  • Optimal resource allocation strategies are resource-dependent and can be counterintuitive, highlighting the need for tailored interventions.