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Related Concept Videos

Feedback control systems01:26

Feedback control systems

793
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
793
Pharmacokinetic–Pharmacodynamic Relationship: Problems01:24

Pharmacokinetic–Pharmacodynamic Relationship: Problems

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The empirical approach to drug therapy optimization relies on correlating pharmacological response with administered dosage. Such an approach can be costly, time-consuming, and often yields poor correlation due to variables like formulation factors and drug elimination characteristics. A more precise approach correlates response with plasma drug concentration or the amount of drug in the body, rather than dosage. This is achieved through pharmacokinetic-pharmacodynamic (PK/PD) modeling, which...
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Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations01:15

Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations

322
Gentamicin, an aminoglycoside antibiotic, is commonly administered via intermittent intravenous infusion to treat severe infections. An intermittent one-hour infusion of gentamicin, administered at eight-hour intervals, allows for precise control of plasma drug concentrations, minimizing toxicity while ensuring therapeutic efficacy. Pharmacokinetic principles govern the dynamics of plasma concentrations and can be mathematically described using specific equations.The plasma drug concentration...
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Effects of feedback01:24

Effects of feedback

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Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
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Dosage Regimens: Designs and Approaches01:28

Dosage Regimens: Designs and Approaches

457
Designing a dosage regimen, which refers to the manner of drug administration, is a complex process involving the selection of drug dose, route, and frequency. This process is underpinned by pharmacokinetic parameters derived from tests and population averages. These parameters are then tailored to patient-specific variables such as diagnosis, demographics, and allergy status. Once therapy commences, therapeutic response monitoring is critical and achieved through clinical and physical...
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Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

Determination of Multiple Dosing Parameters: Loading and Maintenance Doses

355
A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
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Diagonal Method to Measure Synergy Among Any Number of Drugs
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Optimization of drug combinations using Feedback System Control.

Patrycja Nowak-Sliwinska1, Andrea Weiss1, Xianting Ding2

  • 1Department of Medical Oncology, Angiogenesis Laboratory, Vrije Universiteit (VU) University Medical Center, Amsterdam, the Netherlands.

Nature Protocols
|January 15, 2016
PubMed
Summary
This summary is machine-generated.

Discovering synergistic drug combinations offers lower doses, reduced side effects, and enhanced efficacy. Our Feedback System Control (FSC) technique efficiently screens potential drug combinations for disease treatment.

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Area of Science:

  • Pharmacology
  • Computational Biology
  • Drug Discovery

Background:

  • Synergistic drug combinations can improve treatment efficacy and reduce side effects by enabling lower individual drug doses.
  • Identifying optimal synergistic combinations is challenging due to the vast number of potential drug pairings and dosages.
  • Existing methods for drug combination screening can be time-consuming and experimentally intensive.

Purpose of the Study:

  • To develop and present an efficient protocol for discovering synergistic drug combinations.
  • To address the challenge of the large search space in combinatorial drug screening.
  • To enable the identification of optimal drug-dose combinations for various diseases.

Main Methods:

  • The Feedback System Control (FSC) technique, an iterative approach combining experimental testing and computational analysis.
  • Utilizing cell viability assays to generate dose-response curves for individual compounds.
  • Employing the differential evolution (DE) algorithm to predict and optimize novel drug combinations based on experimental data.

Main Results:

  • The FSC technique significantly reduces the experimental effort required for drug combination screening.
  • The protocol can identify optimal drug-dose combinations efficiently, with an estimated completion time of approximately 4 weeks.
  • The FSC method has been successfully applied to diverse pathologies, including cancer, infectious diseases, and organ transplantation.

Conclusions:

  • The developed FSC protocol provides an efficient and effective method for discovering synergistic drug combinations.
  • This approach can accelerate the development of combination therapies, leading to improved patient outcomes.
  • FSC's ability to function without prior knowledge of disease mechanisms broadens its applicability across various medical conditions.