441
Views
40
CrossRef citations to date
0
Altmetric
Reviews

Anticipating drug side effects by comparative pharmacology

, MSc & , PhD
Pages 1253-1263 | Published online: 27 Jul 2010
 

Abstract

Importance of the field: Anticipating the likely side effect profile of drugs is an aspect of key importance in current drug discovery, development and marketing. It was recently shown that drug pairs having similar side effect profiles had also affinity for a common target. Acknowledging that most drugs have a rich polypharmacology, we provide proof that drugs related by side effect similarity have in fact affinities for multiple common targets beyond their primary targets and set the basis for the use of comparative pharmacology to anticipate drug side effects.

Areas covered in this review: Nomenclature issues to be able to identify and properly store drugs, targets and side effects from multiple public sources; the construction of drug networks from side effect similarity and the inference of common targets among them; polypharmacology and data completeness; methods for in silico target profiling; and comparative pharmacology and inference of common side effects.

What the reader will gain: The reader is provided with a detailed step-by-step analysis of the entire process from predicting the target profile of a compound to anticipating its side effect profile, and a discussion on the particular needs and limitations found at each stage of the process through illustrative examples.

Take home message: Comparing preclinical pharmacology data obtained in vitro but also predicted in silico using modern virtual screening methods represents an attractive strategy to anticipate clinical drug side effects.

Notes

This box summarises key points contained in the article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 727.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.