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Related Concept Videos

Immune Response Against Viral Pathogens01:29

Immune Response Against Viral Pathogens

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The immune system's response to viral infections is a complex and coordinated process involving natural killer (NK) cells, T cell-mediated responses, and antibody-mediated responses.
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Control Volume and System Representations01:16

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Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
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State Space Representation01:27

State Space Representation

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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
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Analyzing two sinusoidal voltages with equal amplitude and period but different phases on an oscilloscope, an instrument used to display and analyze waveforms, involves a three-step process.
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Vector Representation of Complex Numbers01:16

Vector Representation of Complex Numbers

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Complex numbers, represented in Cartesian coordinates, can also be visualized as vectors. These vectors can be expressed in polar form, emphasizing their magnitude and angle. When a complex number is input into a function, the output is another complex number, highlighting the function's zero point from which the vector representation can originate.
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Protein Networks02:26

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Isolation, Characterization and Functional Examination of the Gingival Immune Cell Network
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Immune network for viral hepatitis B: Topological representation.

Eduardo Asín-Prieto1, Zinnia P Parra-Guillen1, José David Gómez Mantilla1

  • 1Pharmacometrics & Systems Pharmacology, Department of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain.

European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences
|June 14, 2019
PubMed
Summary

This study investigates the complex immune interactions driving chronic hepatitis B (CHB) persistence. A topological model was developed to aid in understanding CHB mechanisms and designing new therapies.

Keywords:
Hepatitis BImmune systemLiver immunologySystems pharmacologyTopological model

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Last Updated: Jan 23, 2026

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Area of Science:

  • Immunology
  • Virology
  • Systems Biology

Background:

  • The liver's immunotolerogenic environment facilitates hepatitis B virus (HBV) persistence.
  • HBV infection can lead to chronic hepatitis B (CHB), cirrhosis, and hepatocellular carcinoma.

Purpose of the Study:

  • To unravel the mechanisms underlying CHB development.
  • To design a tool for studying effective CHB therapies.

Main Methods:

  • Constructed a conceptual framework of immune system components and viral dynamics.
  • Conducted a modular literature review covering viral dynamics, innate and adaptive immunity, and tolerogenic aspects.
  • Integrated information into a topological representation for systems pharmacology modeling.

Main Results:

  • A comprehensive topological representation of CHB-related pathways and interactions was created.
  • This representation serves as a foundation for quantitative modeling.

Conclusions:

  • The developed topological model is a crucial precursor for quantitative modeling in CHB research.
  • This approach can assist in biomarker and target identification, drug design, and optimizing therapies for chronic hepatitis B.