Comprehension of drug toxicity: Software and databases

Andrey A. Toropov, Alla P. Toropova, Ivan Raska, Danuta Leszczynska, Jerzy Leszczynski

Research output: Contribution to journalArticlepeer-review

Abstract

Quantitative structure-property/activity relationships (QSPRs/QSARs) are a tool (in silico) to rapidly predict various endpoints in general, and drug toxicity in particular. However, this dynamic evolution of experimental data (expansion of existing experimental data on drugs toxicity) leads to the problem of critical estimation of the data. The carcinogenicity, mutagenicity, liver effects and cardiac toxicity should be evaluated as the most important aspects of the drug toxicity. The toxicity is a multidimensional phenomenon. It is apparent that the main reasons for the increase in applications of in silico prediction of toxicity include the following: (i) the need to reduce animal testing; (ii) computational models provide reliable toxicity prediction; (iii) development of legislation that is related to use of new substances; (iv) filling data gaps; (v) reduction of cost and time; (vi) designing of new compounds; (vii) advancement of understanding of biology and chemistry. This mini-review provides analysis of existing databases and software which are necessary for use of robust computational assessments and robust prediction of potential drug toxicities by means of in silico methods.

Original languageEnglish
Pages (from-to)20-25
Number of pages6
JournalComputers in Biology and Medicine
Volume45
Issue number1
DOIs
Publication statusPublished - Feb 1 2014

Keywords

  • Computational toxicology
  • Drug toxicity
  • In silico methods
  • In silico toxicology
  • QSAR

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

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