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Related Concept Videos

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,...
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...
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...
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...
Modified-Release Drug Delivery Systems: Site-Targeted01:24

Modified-Release Drug Delivery Systems: Site-Targeted

Site-targeted drug delivery systems enhance therapeutic efficacy while minimizing systemic toxicity and treatment costs. Unlike conventional methods, these systems ensure precise drug delivery, improving bioavailability and reducing side effects. Targeted drug delivery is classified into three levels. First-order targeting directs drugs to the capillary beds of specific organs or tissues. Second-order targets specific cell types, such as tumor cells, using receptor-mediated interactions.

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Related Experiment Video

Updated: May 12, 2026

A Semi-Quantitative Drug Affinity Responsive Target Stability DARTS assay for studying Rapamycin/mTOR interaction
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Network-Based Approaches for Drug Target Identification.

Thodoris Koutsandreas1,2, Kalliopi Tsafou3, Heiko Horn1,2

  • 1European Bioinformatics Institute, European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, United Kingdom;

Annual Review of Biomedical Data Science
|April 16, 2025
PubMed
Summary
This summary is machine-generated.

Identifying effective drug targets is crucial for drug development. Network-based approaches integrating diverse data show promise for improving target identification and repurposing, but require advanced methods like AI.

Keywords:
AIdrug repurposingdrug target identificationknowledge graphsnetwork propagationnetworks

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Area of Science:

  • Biomedical research
  • Pharmacology
  • Computational biology

Background:

  • Drug target identification is a critical bottleneck in drug development, with low success rates.
  • Current methods often lack a comprehensive understanding of complex human diseases.

Purpose of the Study:

  • To review the evolution and potential of network-based approaches for drug target identification and repurposing.
  • To identify limitations hindering clinical impact and propose solutions.

Main Methods:

  • Review of network-based methodologies in drug discovery.
  • Analysis of diverse data modalities for target identification.
  • Discussion of emerging technologies like AI and knowledge graphs.

Main Results:

  • Network-based approaches offer a promising avenue for enhancing drug target identification and repurposing.
  • Limitations in current network-based methods impede clinical translation.

Conclusions:

  • Integrating diverse data with network-based strategies can improve drug discovery.
  • Leveraging AI and knowledge graphs is recommended to overcome existing limitations and advance clinical applications.