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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...
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...
Protein-protein Interfaces02:04

Protein-protein Interfaces

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 polypeptide...
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,...
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...

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Related Experiment Video

Updated: Jul 6, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

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

Published on: October 3, 2025

Identifying targets for drug discovery using bioinformatics.

Yi-Ping Phoebe Chen1, Feng Chen

  • 1Deakin University, Faculty of Science and Technology, Australia. phoebe@deakin.edu.au

Expert Opinion on Therapeutic Targets
|March 20, 2008
PubMed
Summary
This summary is machine-generated.

Bioinformatics accelerates drug discovery by improving target identification accuracy and reducing costs. This computational approach enhances efficiency in developing new medicines.

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

Published on: December 1, 2020

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Last Updated: Jul 6, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

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

Published on: October 3, 2025

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:

  • Computational Biology
  • Genomics
  • Drug Development

Background:

  • Drug discovery is a complex, lengthy, and expensive process involving multiple stages from target identification to public introduction.
  • Traditional drug discovery faces challenges including high costs, long timelines, and insufficient accuracy in target identification, delaying new drug development.

Purpose of the Study:

  • To explore the application of bioinformatics techniques in enhancing the drug discovery pipeline.
  • To demonstrate how bioinformatics can mitigate challenges in drug discovery, such as cost and time constraints.
  • To analyze the impact of computational methods on improving the accuracy and efficiency of identifying drug targets.

Main Methods:

  • Review of recent studies applying bioinformatics tools across the four main phases of drug discovery.
  • Analysis of how computational techniques, including data mining and machine learning, improve drug discovery processes.
  • Identification of potential challenges and limitations in integrating bioinformatics into drug discovery workflows.

Main Results:

  • Bioinformatics significantly enhances the drug discovery process by enabling molecular-level disease analysis and gene-level explanations.
  • Computational techniques decrease analytical scope and improve result accuracy, leading to reduced costs and timelines.
  • The integration of bioinformatics shows promise in overcoming key hurdles in pharmaceutical research and development.

Conclusions:

  • Combining bioinformatics with traditional drug discovery methods presents a highly promising approach for future pharmaceutical innovation.
  • Despite current challenges, the strategic application of bioinformatics is crucial for advancing efficient and accurate drug development.