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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...
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MALDI-TOF Mass Spectrometry

Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...

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Related Experiment Video

Updated: Jun 26, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Target discovery from data mining approaches.

Yongliang Yang1, S James Adelstein, Amin I Kassis

  • 1Harvard Medical School, Harvard University, Department of Radiology, Armenise Building, Room D2-137, 200 Longwood Avenue, Boston, MA 02115, USA. everbright99@gmail.com

Drug Discovery Today
|January 13, 2009
PubMed
Summary
This summary is machine-generated.

Data mining accelerates target discovery for biomarkers and drugs in the

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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: Jun 26, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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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:

  • Biomedical Science
  • Bioinformatics
  • Genomics

Background:

  • Target discovery is crucial for biomarker and drug development.
  • The 'omics' era generates vast biomedical data, necessitating advanced data mining.
  • Targets encompass molecular entities (genes, proteins) and biological phenomena (pathways, phenotypes).

Purpose of the Study:

  • To review data mining approaches for target discovery in biomedical science.
  • To emphasize text and microarray data analysis applications.
  • To introduce emerging chemogenomic and proteomic data mining.

Main Methods:

  • Bioinformatics approaches combining biological concepts with computational tools.
  • Analysis of text data and microarray data.
  • Exploration of chemogenomic and proteomic data mining techniques.

Main Results:

  • Data mining significantly enhances target discovery in the 'omics' era.
  • Text and microarray data analysis are key applications.
  • Emerging methods like chemogenomic and proteomic data mining show promise.

Conclusions:

  • Data mining is vital for identifying therapeutic targets.
  • Limitations include database integration, data quality, and tool performance.
  • Integrating diverse data sources is a promising strategy for enhanced target discovery.