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Related Concept Videos

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...
Quantitative Aspects of Drug-Receptor Interaction01:30

Quantitative Aspects of Drug-Receptor Interaction

The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower Kd...
Drug-Receptor Interactions01:29

Drug-Receptor Interactions

Drug-receptor interaction describes the binding of receptors by drugs, but not all drug-receptor interactions result in activation and tissue response. For instance, the binding of agonists activates the receptor to generate a cellular reaction, while antagonists bind to receptors without causing their activation.
Several parameters, such as the drug's affinity for its receptor and its efficacy, which is its ability to activate the receptor, determine the drug's effect on the tissue.
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
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Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
Drug-Receptor Bonds01:25

Drug-Receptor Bonds

Drug-receptor bonds are formed through various chemical forces when drugs interact with target cells. Covalent bonds, strong and irreversible, are exemplified by DNA-alkylating anticancer agents that inhibit cell division. However, such irreversible drug binding lacks selectivity and can modify the DNA of the surrounding healthy cells. Covalent binding often contributes to tissue toxicity, as seen with chloroform and paracetamol metabolites binding to the liver, causing hepatotoxicity.
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Related Experiment Video

Updated: Jun 6, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

PROMISCUOUS: a database for network-based drug-repositioning.

Joachim von Eichborn1, Manuela S Murgueitio, Mathias Dunkel

  • 1Charité - Universitätsmedizin Berlin, Institute for Physiology, Structural Bioinformatics Group, Lindenberger Weg 80, 13125 Berlin, Germany. joachim.eichborn@charite.de

Nucleic Acids Research
|November 13, 2010
PubMed
Summary
This summary is machine-generated.

Drug repositioning accelerates finding new uses for existing medications. The PROMISCUOUS database aids this by linking drug properties to protein interactions, revealing potential new therapeutic applications.

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Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

Related Experiment Videos

Last Updated: Jun 6, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

Area of Science:

  • Pharmacology
  • Bioinformatics
  • Drug Discovery

Background:

  • Drug approval is lengthy, expensive, and risky.
  • Accidental discoveries of drug multi-specificity have led to new blockbuster indications.
  • Understanding off-target effects is crucial for predicting side effects.

Purpose of the Study:

  • To systematically explore new applications for known drugs.
  • To provide a comprehensive resource for drug-protein and protein-protein relationships.
  • To facilitate network-based analysis for drug repositioning.

Main Methods:

  • Compiled a database (PROMISCUOUS) of 25,000 drugs, including experimental and withdrawn ones.
  • Annotated drugs with 21,500 drug-protein and 104,000 protein-protein relationships.
  • Utilized text and data mining with manual curation from public resources.

Main Results:

  • PROMISCUOUS integrates drug structural similarity and side-effect data with protein-protein interactions.
  • Enables the analysis of networks underlying multi-pharmacology.
  • Provides a foundation for identifying potential drug repositioning candidates.

Conclusions:

  • A network-based approach using PROMISCUOUS can identify novel drug applications.
  • This resource supports rational drug repositioning strategies.
  • PROMISCUOUS is publicly available for research use.