ToxEvaluator: an integrated computational platform to aid the interpretation of toxicology study-related findings

D. Pelletier, T. C. Wiegers, A. Enayetallah, C. Kibbey, M. Gosink, P. Koza-Taylor, C. J. Mattingly, M. Lawton
<span title="2016-01-01">2016</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="" style="color: black;">Database: The Journal of Biological Databases and Curation</a> </i> &nbsp;
Attempts are frequently made to investigate adverse findings from preclinical toxicology studies in order to better understand underlying toxicity mechanisms. These efforts often begin with limited information, including a description of the adverse finding, knowledge of the structure of the chemical associated with its cause and the intended pharmacological target. ToxEvaluator was developed jointly by Pfizer and the Comparative Toxicogenomics Database ( team at North
more &raquo; ... a State University as an in silico platform to facilitate interpretation of toxicity findings in light of prior knowledge. Through the integration of a diverse set of in silico tools that leverage a number of public and proprietary databases, ToxEvaluator streamlines the process of aggregating and interrogating diverse sources of information. The user enters compound and target identifiers, and selects adverse event descriptors from a safety lexicon and mapped MeSH disease terms. ToxEvaluator provides a summary report with multiple distinct areas organized according to what target or structural aspects have been linked to the adverse finding, including primary pharmacology, structurally similar proprietary compounds, structurally similar public domain compounds, predicted secondary (i.e. off-target) pharmacology and known secondary pharmacology. Similar proprietary compounds and their associated in vivo toxicity findings are reported, along with a link to relevant supporting documents. For similar public domain compounds and interacting targets, ToxEvaluator integrates relationships curated in Comparative Toxicogenomics Database, returning all direct and inferred linkages between them. As an example of its utility, we demonstrate how ToxEvaluator rapidly identified direct (primary pharmacology) and indirect (secondary pharmacology) linkages between cerivastatin and myopathy.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1093/database/baw062</a> <a target="_blank" rel="external noopener" href="">pmid:27161010</a> <a target="_blank" rel="external noopener" href="">pmcid:PMC4860628</a> <a target="_blank" rel="external noopener" href="">fatcat:vtlf6jn6tnhufe2kffoazmz64i</a> </span>
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