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Diffusion01:12

Diffusion

216.5K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
216.5K
Diffusion01:21

Diffusion

6.3K
Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
6.3K
Combined Effects of Drugs: Antagonism01:30

Combined Effects of Drugs: Antagonism

11.6K
The combined effects of drugs can result in various interactions, of which an important type is antagonism. Antagonism is a mechanism where one drug inhibits or counteracts the effects of another drug. Antagonism can occur through various means, including receptor binding, allosteric modulation, functional interaction, chemical reactions, and pharmacokinetic processes.
The most common type is receptor antagonism, where one drug acts as an antagonist to block the effects of another drug by...
11.6K
Antipsychotic Drugs: Therapeutic Uses and Side Effects01:21

Antipsychotic Drugs: Therapeutic Uses and Side Effects

763
Antipsychotic drugs primarily block dopamine and serotonin receptors and cholinergic, adrenergic, and histaminergic receptors, thereby reducing hallucinations and delusions in conditions like schizophrenia. However, they can trigger unwanted extrapyramidal effects such as dystonias, Parkinson-like symptoms, and tardive dyskinesia.
Despite these side effects, antipsychotics are used therapeutically for various purposes, including managing schizophrenia, preventing nausea and vomiting, curbing...
763
Combined Effects of Drugs: Synergism01:27

Combined Effects of Drugs: Synergism

6.8K
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...
6.8K
Covalently Linked Protein Regulators02:04

Covalently Linked Protein Regulators

8.7K
Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
These groups modify specific amino acids in a protein....
8.7K

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Related Experiment Video

Updated: Jan 22, 2026

A Computerized Test Battery to Study Pharmacodynamic Effects on the Central Nervous System of Cholinergic Drugs in Early Phase Drug Development
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A Computerized Test Battery to Study Pharmacodynamic Effects on the Central Nervous System of Cholinergic Drugs in Early Phase Drug Development

Published on: February 11, 2019

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Discovering Links Between Side Effects and Drugs Using a Diffusion Based Method.

Mohan Timilsina1, Meera Tandan2, Mathieu d'Aquin3

  • 1Data Science Institute, Insight Centre for Data Analytics, National University of Ireland Galway, Galway, Ireland. mohan.timilsina@insight-centre.org.

Scientific Reports
|July 20, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a computational model to predict drug side effects, reducing costly lab research. The model integrates drug networks and semantic similarities for accurate predictions of unknown drug-side effect links.

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Area of Science:

  • Pharmacology and Computational Biology
  • Drug Discovery and Development

Background:

  • Identifying drug side effects is crucial but lab verification is expensive and time-consuming.
  • A computational approach for predicting drug-side effect associations is highly desirable.

Purpose of the Study:

  • To develop and validate a computational model for predicting unintended drug effects (side effects).
  • To leverage openly available data resources for drug and side effect modeling.

Main Methods:

  • Modeled drugs and side effects as a bipartite graph using open data.
  • Constructed a drug-drug similarity network using the word2vec model.
  • Integrated the bipartite and semantic similarity graphs via matrix factorization and diffusion models.

Main Results:

  • Demonstrated the effectiveness of the integrated model in predicting unknown drug-side effect relationships.
  • Generated ranked predictions for potential drug-side effect links.

Conclusions:

  • The integrated computational approach offers an efficient method for predicting drug side effects.
  • This model can aid in reducing the cost and time associated with traditional pharmacological studies.