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Related Concept Videos

Drug toxicity: Drug–Drug Interaction01:30

Drug toxicity: Drug–Drug Interaction

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Drug–drug interactions can precipitate toxicity through multiple mechanisms. Absorption interactions alter how drugs enter the body, exemplified when ranitidine increases the absorption of basic drugs, while cholestyramine decreases the levels of propranolol. Protein binding interactions occur when drugs share the same binding sites on plasma proteins. Drugs like aspirin and warfarin, when bound in excess, can lead to increased free drug concentrations, enhancing the potential for...
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Combined Effects of Drugs: Synergism01:27

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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...
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Drug toxicity: Idiosyncratic Reactions01:16

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Idiosyncratic drug reactions represent abnormal chemical responses that vary significantly among individuals, ranging from extreme sensitivity to low doses to insensitivity to high doses. These reactions often occur due to the drug's covalent binding with serum proteins, forming a foreign hapten that triggers an immunotoxicological response. The variability in drug reactions has a strong pharmacogenetic foundation, with genetic differences crucial in how individuals metabolize drugs. For...
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Drug Toxicity: Dose-Dependent Reactions01:24

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Drug toxicities can be stratified into pharmacological, pathological, or genotoxic based on their mechanisms. The incidence and severity of these toxicities generally increase with the drug's concentration in the body and exposure time.Pharmacological toxicity is evident when the therapeutic effects of drugs overshoot into adverse reactions in a predictable, dose-dependent manner. Central nervous system (CNS) depression from barbiturates is a classic example, with effects escalating from...
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Drug Toxicity: Overview01:00

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Drug toxicity quantifies the harm a compound causes to an organism, varying by dose and potentially impacting whole systems or specific organs like the liver. Toxic reactions may arise from venomous insect or spider bites, with effects ranging from mild symptoms to severe outcomes such as brain damage or death. Common forms of acute poisoning include ethanol intoxication and overdose of pain or fever medications, with substances like GHB and heroin being particularly lethal at doses close to...
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Agonism and Antagonism: Quantification01:14

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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.
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Connection Map for Compounds (CMC): A Server for Combinatorial Drug Toxicity and Efficacy Analysis.

Lei Liu1, Maria Tsompana2, Yong Wang3

  • 1Department of Bioinformatics, School of Life Sciences and Technology, Tongji University , Shanghai 200092, People's Repubic of China.

Journal of Chemical Information and Modeling
|August 11, 2016
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Summary

Early identification of drug safety and efficacy is crucial. The new Connection Map for Compounds (CMC) web server enables combined toxicity and efficacy analysis for improved drug discovery and repositioning.

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Area of Science:

  • Pharmacogenomics
  • Toxicogenomics
  • Computational Biology

Background:

  • Drug discovery is expensive and prone to failure due to safety and efficacy issues.
  • Early identification of non-viable drug candidates is essential for cost reduction.
  • Existing tools like CMap and LTMap analyze drug toxicity or mechanisms separately, lacking combinatorial analysis.

Purpose of the Study:

  • To develop the first web server for the combined evaluation of drug toxicity and efficacy.
  • To provide a tool for early-stage drug discovery and drug repositioning.

Main Methods:

  • Utilized genome-wide drug transcriptional expression profiles.
  • Developed the Connection Map for Compounds (CMC) web server.
  • Integrated large-scale toxicogenomics databases for gene signature comparison.

Main Results:

  • The CMC web server allows comparison of query drug gene signatures with prebuilt profiles.
  • Enables drug efficacy analysis for mechanism identification or prediction.
  • Offers a novel approach by combining toxicity and efficacy evaluations.

Conclusions:

  • CMC provides a unique platform for combinatorial drug safety and efficacy analysis.
  • Facilitates early drug evaluation and drug repositioning in the discovery pipeline.
  • The web server is accessible for researchers and offers customizable features.