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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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Published on: December 11, 2016

Phylogenetic methods in drug discovery.

John C Ashton1

  • 1Department of Pharmacology & Toxicology, School of Medical Sciences, University of Otago, New Zealand. john.ashton@otago.ac.nz.

Current Drug Discovery Technologies
|July 31, 2013
PubMed
Summary
This summary is machine-generated.

Phylogenetic analysis uses computing power to reconstruct evolutionary relationships from genetic data. This method aids pharmacologists in understanding receptor-enzyme interactions and generating experimental hypotheses, exemplified by the GPR18 receptor.

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Area of Science:

  • Evolutionary biology
  • Bioinformatics
  • Pharmacology

Background:

  • Advancements in computing power have enabled sophisticated phylogenetic analyses.
  • Molecular databases (genetic and proteomic) are increasingly utilized for evolutionary reconstructions.
  • Understanding receptor-enzyme relationships is crucial in pharmacology.

Purpose of the Study:

  • To describe the reconstruction of molecular phylogenies for a non-specialist audience.
  • To illustrate the application of phylogenetic analysis in pharmacology.
  • To use the orphaned g protein coupled receptor GPR18 as a case study.

Main Methods:

  • Utilizing computational techniques to analyze genetic and proteomic data.
  • Reconstructing molecular phylogenies from online databases.
  • Applying phylogenetic analysis to pharmacological targets.

Main Results:

  • Demonstrated the feasibility of reconstructing evolutionary relationships for complex molecules.
  • Provided a framework for analyzing receptor-associated enzyme interactions.
  • Successfully applied the methodology to the GPR18 receptor.

Conclusions:

  • Phylogenetic analysis is a valuable tool for pharmacologists.
  • This approach can generate novel hypotheses for drug discovery and development.
  • The study provides a practical example for understanding molecular evolution in a pharmacological context.