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Related Concept Videos

Measurement of Bioavailability: Pharmacodynamic Methods01:20

Measurement of Bioavailability: Pharmacodynamic Methods

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Pharmacodynamic methods provide insights into a drug's effects on physiological processes over time and play a crucial role in understanding bioavailability and therapeutic efficacy. These methods can be broadly classified into acute pharmacological and therapeutic response approaches, each with distinct mechanisms and applications.The acute pharmacological response method directly correlates a drug's physiological effects, such as ECG or pupil diameter changes, to its time course in the body.
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Drug Products: Biologics, Biosimilars and Interchangeables01:28

Drug Products: Biologics, Biosimilars and Interchangeables

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Body:Biologics, derived from living sources such as humans, animals, or microorganisms, represent a significant category of pharmaceuticals. These complex molecules, developed through advanced biotechnological methods or purified from natural sources, include essential medical treatments like insulin and growth hormones. The complexity of biologics arises from their large molecular structures and the intricate processes required for their production, making them distinct from conventional...
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Therapeutic Drug Monitoring: Drug Analysis Methods01:26

Therapeutic Drug Monitoring: Drug Analysis Methods

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Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood or body tissues to tailor drug therapy effectively. This monitoring is critical for managing drugs with narrow therapeutic indices like digoxin and phenytoin, ensuring they are both safe and effective. For instance, monitoring theophylline levels in asthma patients involves precision and sensitivity to adjust doses according to individual responses to therapy, ensuring efficacy and...
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Drug Discovery: Overview01:26

Drug Discovery: Overview

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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Drug Concentrations: Measurements01:23

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Drug concentration is the quantity of a drug present in a biological sample. Measuring drug amounts in biological samples allows the clinician to understand how a drug is absorbed, distributed, metabolized, and excreted. Samples can be obtained through invasive or non-invasive methods. Invasive techniques involve surgical or parenteral interventions to gather blood, cerebrospinal fluid, or tissue biopsy. Conversely, non-invasive approaches provide samples like urine, feces, and saliva.
Plasma...
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Protein Networks02:26

Protein Networks

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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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Related Experiment Video

Updated: Dec 31, 2025

Preparation of Peripheral Blood Mononuclear Cell Pellets and Plasma from a Single Blood Draw at Clinical Trial Sites for Biomarker Analysis
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Network-based drugs and biomarkers.

Janine T Erler1, Rune Linding

  • 1Section of Cellular and Molecular Biology, The Institute of Cancer Research (ICR), London SW3 6JB, UK.

The Journal of Pathology
|November 19, 2009
PubMed
Summary

Network biology offers insights into how protein signaling networks change in complex diseases like cancer. Understanding these molecular networks is crucial for developing new biomarkers and drugs.

Area of Science:

  • Molecular biology
  • Systems biology
  • Biotechnology

Background:

  • Protein signaling networks regulate cellular decisions and tissue formation.
  • Complex diseases, including cancer and diabetes, arise from dysregulation of these networks.
  • Understanding network dynamics during disease progression is vital for diagnosis and treatment.

Purpose of the Study:

  • Introduce network biology and associated technologies.
  • Highlight the multivariate nature of cellular networks.
  • Discuss implications for biomarker and drug discovery using cancer metastasis as a model.

Main Methods:

  • Review of network biology principles and technologies.
  • Focus on multivariate analysis of cellular networks.

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  • Case study application to cancer metastasis.

    • Main Results:

    • Network biology provides a framework for studying complex diseases.
    • Cellular network complexity impacts biomarker and drug discovery.
    • Cancer metastasis illustrates the application of network principles.

    Conclusions:

    • Network biology is essential for advancing network medicine.
    • Multivariate approaches are key to understanding disease networks.
    • Network insights can drive innovation in oncology and beyond.