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Related Concept Videos

Protein Networks02:26

Protein Networks

4.7K
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.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Protein Networks02:26

Protein Networks

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Protein-protein Interfaces02:04

Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Pharmacokinetics: Drug–Drug Interactions01:25

Pharmacokinetics: Drug–Drug Interactions

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Drug interactions occur when the pharmacological effect of one drug is altered by another substance, either enhancing or diminishing its activity. The drug whose activity is altered is known as the object drug, and the substance causing the alteration is called the agent drug or the precipitant. The net effects of these interactions are mostly undesirable, leading to decreased effectiveness or increased adverse effects. In rare cases, interactions can be beneficial, such as the enhanced...
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Drug toxicity: Drug–Drug Interaction01:30

Drug toxicity: Drug–Drug Interaction

342
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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Protein-Drug Binding: Mechanism and Kinetics01:16

Protein-Drug Binding: Mechanism and Kinetics

2.1K
Protein-drug binding refers to the interaction between drugs and proteins within the body. This binding process can occur intracellularly, involving drug interactions with enzymes or receptors within cells, or extracellularly, involving plasma proteins in the blood.
Various forces drive these interactions, including hydrogen bonds, hydrophobic interactions, ionic bonds, electrostatic interactions, and van der Waals forces. These bonds enable drugs to bind to specific sites on proteins,...
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Related Experiment Video

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Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma
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PhIN: A Protein Pharmacology Interaction Network Database.

Z Wang1, J Li2, R Dang1

  • 1State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University Tianjin, China.

CPT: Pharmacometrics & Systems Pharmacology
|July 31, 2015
PubMed
Summary

We developed the Protein Pharmacology Interaction Network database (PhIN) to aid multitarget drug discovery. PhIN provides comprehensive network pharmacology analysis for identifying complex drug-target interactions.

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Area of Science:

  • Pharmacology
  • Bioinformatics
  • Computational Drug Discovery

Background:

  • Network pharmacology is crucial for understanding polypharmacology in modern drug discovery.
  • Investigating complex drug-target interactions requires robust analytical tools.

Purpose of the Study:

  • To introduce the Protein Pharmacology Interaction Network database (PhIN).
  • To facilitate multitarget drug discovery through comprehensive network pharmacology analysis.

Main Methods:

  • Compiled extensive data on target-target interactions, compounds, scaffolds, activity data, targets, pathways, and viral targets.
  • Developed PhIN to enable flexible network analysis based on shared compounds or scaffolds and activity cutoffs.

Main Results:

  • PhIN integrates over 1.1 million target-target interaction pairs (shared compounds) and 3.4 million pairs (shared scaffolds).
  • The database encompasses 9,414 targets, 652 pathways, and extensive compound and scaffold data.
  • Users can generate interacting target networks within and across human pathways, and between human and viral targets.

Conclusions:

  • PhIN serves as a valuable resource for multitarget drug development.
  • The database supports advanced network pharmacology analysis for identifying novel therapeutic strategies.