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On the use of in silico tools for prioritising toxicity testing of the low-volume industrial chemicals in REACHBioinformatics opportunities for identification and study of medicinal plantsBuilding a virtual ligand screening pipeline using free software: a surveyToxAlerts: a Web server of structural alerts for toxic chemicals and compounds with potential adverse reactionsChallenges for computational structure-activity modelling for predicting chemical toxicity: future improvements?A review of the use of in silico methods to predict the chemistry of molecular initiating events related to drug toxicity.Construction and Consensus Performance of (Q)SAR Models for Predicting Phospholipidosis Using a Dataset of 743 Compounds.Tox21Challenge to Build Predictive Models of Nuclear Receptor and Stress Response Pathways as Mediated by Exposure to Environmental Chemicals and Drugs
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P2860
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on January 2008
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
MultiCASE Expert Systems and the REACH Initiative.
@en
MultiCASE Expert Systems and the REACH Initiative.
@nl
type
label
MultiCASE Expert Systems and the REACH Initiative.
@en
MultiCASE Expert Systems and the REACH Initiative.
@nl
prefLabel
MultiCASE Expert Systems and the REACH Initiative.
@en
MultiCASE Expert Systems and the REACH Initiative.
@nl
P2860
P1476
MultiCASE Expert Systems and the REACH Initiative.
@en
P2093
Gilles Klopman
Roustem D Saiakhov
P2860
P304
P356
10.1080/15376510701857460
P577
2008-01-01T00:00:00Z