About: Comprehension of drug toxicity: Software and databases

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://dx.doi.org/10.1016/j.compbiomed.2013.11.013
Description	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 silica 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 silica methods. 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 silica 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 silica methods. (en)
Title	Comprehension of drug toxicity: Software and databases Comprehension of drug toxicity: Software and databases (en)
skos:prefLabel	Comprehension of drug toxicity: Software and databases Comprehension of drug toxicity: Software and databases (en)
skos:notation	RIV/00216208:11110/14:10282763!RIV15-MSM-11110___
http://linked.open...avai/riv/aktivita	V
http://linked.open...avai/riv/aktivity	V
http://linked.open...iv/cisloPeriodika	February
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Raška, Ivan
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / 1. lékařská fakulta
http://linked.open...dnocenehoVysledku	8426
http://linked.open...ai/riv/idVysledku	RIV/00216208:11110/14:10282763
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Drug toxicity; Computational toxicology; QSAR; In silica methods; In silica toxicology (en)
http://linked.open.../riv/klicoveSlovo	QSAR Computational toxicology Drug toxicity In silica methods In silica toxicology
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[4689083E11B2]
http://linked.open...i/riv/nazevZdroje	Computers in Biology and Medicine
http://linked.open...in/vavai/riv/obor	FR
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	45
http://linked.open...iv/tvurceVysledku	Leszczynski, Jerzy Raška, Ivan Toropov, Andrey A. Toropova, Alla P. Leszczynska, Danuta
http://linked.open...ain/vavai/riv/wos	000332433400003
issn	0010-4825
number of pages	6 (xsd:int)
http://bibframe.org/vocab/doi	10.1016/j.compbiomed.2013.11.013
http://localhost/t...ganizacniJednotka	11110

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