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Related Concept Videos

Combined Effects of Drugs: Synergism01:27

Combined Effects of Drugs: Synergism

Synergism is a useful mechanism where combining two or more drugs is more effective than each constituent used alone. Such combinations are also called supra-additive interactions. The drugs collectively enhance the final therapeutic effect by acting on different targets. Another advantage is that the low dose of each constituent drug is sufficient to achieve the desired effect. This helps reduce the duration of therapy and lower the adverse effects of these drugs.
Such synergistic combinations...
Drug Discovery: Overview01:26

Drug Discovery: Overview

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...
Dosage Regimens: Designs and Approaches01:28

Dosage Regimens: Designs and Approaches

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...
Dosage Regimens: Partial Pharmacokinetic Parameters01:01

Dosage Regimens: Partial Pharmacokinetic Parameters

It is not uncommon for complete drug pharmacokinetic profiles to remain elusive in pharmacokinetics. This necessitates certain educated assumptions by pharmacokineticists to determine appropriate dosage regimens without comprehensive pharmacokinetic data from animal or human studies. One prevalent assumption is setting the bioavailability factor, denoted as F, to 1 or 100%. This assumption caters to the scenario where a drug doesn't achieve full systemic absorption, resulting in the patient...
Agonism and Antagonism: Quantification01:14

Agonism and Antagonism: Quantification

When drugs are administered, they can elicit either an agonist or antagonist effect on the body. Agonism occurs when a drug activates a specific receptor, triggering a biological response. On the other hand, antagonism happens when a drug binds to the same receptors but blocks their activation, thereby preventing a biological response.
To quantify these effects, researchers use a dose-response curve, which provides valuable information about the potency and efficacy of a drug. Potency refers to...
Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

Determination of Multiple Dosing Parameters: Loading and Maintenance Doses

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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Related Experiment Video

Updated: Jun 21, 2026

Diagonal Method to Measure Synergy Among Any Number of Drugs
12:08

Diagonal Method to Measure Synergy Among Any Number of Drugs

Published on: June 21, 2018

Optimal drug combinations and minimal hitting sets.

Alexei Vazquez1

  • 1The Simons Center for Systems Biology, Institute for Advanced Study, Einstein Drive, Princeton, New Jersey 08540, USA. vazqueal@umdnj.edu

BMC Systems Biology
|August 8, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a novel mathematical method to identify effective drug combinations for targeting heterogeneous cancer cell lines and viruses. The approach efficiently finds minimal combinations to treat all strains, aiding drug development.

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Area of Science:

  • Computational biology
  • Drug discovery
  • Mathematical modeling

Background:

  • Identifying effective drug combinations is challenging due to the vast number of possibilities.
  • Screening pairwise drug combinations is already extensive.
  • Combinations beyond two drugs appear unfeasible for screening.

Purpose of the Study:

  • To develop a method for uncovering effective drug combinations against heterogeneous malignant cell populations.
  • To address the challenge of identifying multi-drug therapies for complex diseases like cancer and viral infections.

Main Methods:

  • Developed a method to map the drug combination problem to a minimal hitting set problem.
  • Utilized drug-effect data across multiple cell strains.
  • Applied the method to the NCI-60 panel of tumor cell lines.

Main Results:

  • Successfully identified minimal drug combinations predicted to be effective against all targeted strains.
  • Uncovered 14 potential anticancer drug combinations using the NCI-60 data.
  • Demonstrated the feasibility of the minimal hitting set approach for drug discovery.

Conclusions:

  • The drug-response graph and minimal hitting set method can identify effective drug combinations.
  • This approach is applicable to anticancer drug screens.
  • The method can aid drug development programs targeting heterogeneous populations, including infectious agents like HIV.