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Related Concept Videos

Targets for Drug Action: Overview01:26

Targets for Drug Action: Overview

Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
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...
Protein Networks02:26

Protein Networks

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,...
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.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
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...
Principles of Drug Action01:24

Principles of Drug Action

Drugs are chemical substances that modify biological responses by interacting with macromolecular targets such as receptors, ion channels, transporters, and enzymes. Pharmacodynamics describes the course of action of drugs leading to the physiological effect at a specific site in the body.
Drugs can be agonists or antagonists. Like the endogenous ligands, agonists always bind and activate the target to produce a cellular response. Agonist binding induces a conformational change which in turn...

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Related Experiment Video

Updated: May 13, 2026

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

Building a drug-target network and its applications.

Soyoung Lee1, Keunwan Park, Dongsup Kim

  • 1KAIST, Department of Bio and Brain Engineering, 335 Gwahak-ro, Yuseong-gu, Daejeon, 305-701 Korea, Republic of Korea +82 42 350 4317 ; +82 42 350 4310 ; kds@kaist.ac.kr.

Expert Opinion on Drug Discovery
|March 14, 2013
PubMed
Summary

Building integrated networks of drugs, targets, and diseases is a key advance in drug discovery. These networks aid in identifying new drug targets and developing novel therapeutics.

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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
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Last Updated: May 13, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
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Published on: December 1, 2020

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

Area of Science:

  • Computational biology
  • Network science
  • Drug discovery

Background:

  • Network analysis is a recent development in drug discovery.
  • Integrating relationships among drugs, targets, diseases, and genes provides valuable insights.

Purpose of the Study:

  • Review recent network types and developments in drug discovery.
  • Suggest future directions for network studies in drug discovery.

Main Methods:

  • Integrating various databases and networks to form a comprehensive network.
  • Analyzing relationships between drugs, targets, genes, phenotypes, and diseases.
  • Discussing limitations and proposing strategies for building practical drug-target networks.

Main Results:

  • An integrated network can be constructed by addressing issues like limited coverage and inconsistency.
  • Network completion involves predicting missing links and identifying drug targets.
  • Biological network comparison aids in understanding relationships.

Conclusions:

  • Integrated networks offer applications in multi-target drug development and drug repurposing.
  • These networks can estimate drug effects on target perturbations.
  • They facilitate the extraction of suitable drug-target subnetworks for specific purposes.