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Related Concept Videos

Pharmacogenomics: Identification of New Drug Targets01:29

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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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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...
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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
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Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
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DGIdb: mining the druggable genome.

Malachi Griffith1, Obi L Griffith, Adam C Coffman

  • 11] The Genome Institute, Washington University School of Medicine, St. Louis, Missouri, USA. [2] Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA. [3].

Nature Methods
|October 15, 2013
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Summary
This summary is machine-generated.

The Drug-Gene Interaction database (DGIdb) aids researchers in identifying potential drug targets for mutated genes. It offers a searchable platform for drug-gene interactions to advance therapeutic development.

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Area of Science:

  • Bioinformatics
  • Pharmacogenomics
  • Computational Biology

Background:

  • Identifying therapeutic targets for mutated genes is crucial for drug development.
  • Existing resources for drug-gene interactions are fragmented and require integration.
  • Prioritizing genes for targeted therapies necessitates comprehensive interaction data.

Purpose of the Study:

  • To present the Drug-Gene Interaction database (DGIdb) as a centralized resource.
  • To facilitate hypothesis generation for targeted cancer therapy and drug development.
  • To provide an accessible interface for querying drug-gene interactions.

Main Methods:

  • DGIdb integrates data from multiple existing drug-gene interaction resources.
  • It employs a systematic mining approach to compile interaction information.
  • A web-based interface allows users to search lists of genes against the database.

Main Results:

  • DGIdb provides a compendium of drug-gene interactions.
  • It identifies potentially druggable genes relevant to therapeutic strategies.
  • The database supports the prioritization of genes for drug development.

Conclusions:

  • DGIdb serves as a valuable tool for researchers in oncology and drug discovery.
  • It streamlines the process of identifying and prioritizing therapeutic targets.
  • The database promotes hypothesis-driven research in precision medicine.