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Web-Based Tools for Polypharmacology Prediction.

Mahendra Awale1, Jean-Louis Reymond2

  • 1Department of Chemistry and Biochemistry, National Center of Competence in Research NCCR TransCure, University of Berne, Berne, Switzerland.

Methods in Molecular Biology (Clifton, N.J.)
|December 7, 2018
PubMed
Summary

Understanding drug promiscuity (polypharmacology) is key for drug discovery. This review highlights web tools, including the polypharmacology browser (PPB), for analyzing small molecule interactions with multiple protein targets.

Keywords:
Drug–target interactionsMolecular fingerprintsPolypharmacologySimilarity searchingTarget prediction

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Area of Science:

  • Computational chemistry and cheminformatics
  • Drug discovery and development
  • Pharmacology and toxicology

Background:

  • Drug promiscuity, or polypharmacology, describes a small molecule's capacity to bind multiple protein targets concurrently.
  • Comprehending polypharmacology is vital in drug discovery for enhancing drug efficacy, safety, and identifying novel therapeutic uses for existing medications.
  • Numerous computational methodologies have emerged over the last decade to investigate small molecule polypharmacology, with many accessible as web services.

Purpose of the Study:

  • To review existing web-based computational tools for studying small molecule polypharmacology, with a focus on ligand-based approaches.
  • To introduce and showcase the application of a newly developed polypharmacology browser (PPB).
  • To demonstrate PPB's utility in identifying off-target interactions for novel TRPV6 calcium channel inhibitors.

Main Methods:

  • Literature review of computational web tools for polypharmacology analysis.
  • Focus on ligand-based computational approaches.
  • Application of the developed polypharmacology browser (PPB) to a specific case study.

Main Results:

  • Several web tools for polypharmacology analysis, primarily ligand-based, are available.
  • The polypharmacology browser (PPB) was successfully developed and applied.
  • PPB facilitated the identification of secondary targets for a TRPV6 calcium channel inhibitor.

Conclusions:

  • Web-based computational tools, including PPB, are valuable resources for studying drug polypharmacology.
  • Understanding polypharmacology aids in optimizing drug candidates and exploring new therapeutic avenues.
  • The PPB is a practical tool for identifying off-target effects and potential side targets in drug discovery.