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Docking Studies for Multi-Target Drugs.

Luciana Scotti1, Francisco J B Mendonca Junior2, Hamilton M Ishiki3

  • 1Health Sciences Center, Federal University of Paraiba, Campus I 58051-970, João Pessoa, PB, Brazil.

Current Drug Targets
|August 26, 2015
PubMed
Summary

Researchers are exploring multi-target drugs for complex diseases like cancer. Molecular docking is a key computational tool aiding the discovery of these polypharmacological compounds, moving beyond the traditional one-drug, one-target approach.

Keywords:
CADDdiseasesdockingmulti-target drugsnetworkpolypharmacologyreceptor.

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Area of Science:

  • Pharmacology
  • Computational Chemistry
  • Drug Discovery

Background:

  • The traditional drug discovery paradigm focused on "one drug, one target, one disease."
  • Complex diseases often involve multiple biological pathways, necessitating alternative therapeutic strategies.
  • The concept of polypharmacology, using drugs that act on multiple targets, is gaining traction for treating multifactorial diseases.

Purpose of the Study:

  • To review the application of molecular docking in the search for multi-target drug compounds.
  • To highlight the utility of computational tools in identifying polypharmacological agents.
  • To explore the role of molecular docking in drug design for complex diseases.

Main Methods:

  • Utilizing molecular docking simulations to analyze ligand-target interactions.
  • Employing Computer-Aided Drug Design (CADD) methodologies.
  • Reviewing existing literature on docking studies for multi-target compound identification.

Main Results:

  • Molecular docking is instrumental in visualizing and predicting interactions between ligands and multiple biological targets.
  • Studies using molecular docking have identified potential multi-target compounds for diseases such as cancer and neurodegenerative disorders.
  • The review showcases diverse applications of docking in the quest for novel multifunctional drugs.

Conclusions:

  • Molecular docking is a valuable computational approach for discovering multi-target drugs.
  • This methodology facilitates the development of polypharmacological agents for complex, multifactorial diseases.
  • The findings underscore the growing importance of computational tools in modern drug discovery.