Cargando…
ToxDBScan: Large-Scale Similarity Screening of Toxicological Databases for Drug Candidates
We present a new tool for hepatocarcinogenicity evaluation of drug candidates in rodents. ToxDBScan is a web tool offering quick and easy similarity screening of new drug candidates against two large-scale public databases, which contain expression profiles for substances with known carcinogenic pro...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4227259/ https://www.ncbi.nlm.nih.gov/pubmed/25338045 http://dx.doi.org/10.3390/ijms151019037 |
_version_ | 1782343770287636480 |
---|---|
author | Römer, Michael Backert, Linus Eichner, Johannes Zell, Andreas |
author_facet | Römer, Michael Backert, Linus Eichner, Johannes Zell, Andreas |
author_sort | Römer, Michael |
collection | PubMed |
description | We present a new tool for hepatocarcinogenicity evaluation of drug candidates in rodents. ToxDBScan is a web tool offering quick and easy similarity screening of new drug candidates against two large-scale public databases, which contain expression profiles for substances with known carcinogenic profiles: TG-GATEs and DrugMatrix. ToxDBScan uses a set similarity score that computes the putative similarity based on similar expression of genes to identify chemicals with similar genotoxic and hepatocarcinogenic potential. We propose using a discretized representation of expression profiles, which use only information on up- or down-regulation of genes as relevant features. Therefore, only the deregulated genes are required as input. ToxDBScan provides an extensive report on similar compounds, which includes additional information on compounds, differential genes and pathway enrichments. We evaluated ToxDBScan with expression data from 15 chemicals with known hepatocarcinogenic potential and observed a sensitivity of 88%. Based on the identified chemicals, we achieved perfect classification of the independent test set. ToxDBScan is publicly available from the ZBIT Bioinformatics Toolbox. |
format | Online Article Text |
id | pubmed-4227259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-42272592014-11-12 ToxDBScan: Large-Scale Similarity Screening of Toxicological Databases for Drug Candidates Römer, Michael Backert, Linus Eichner, Johannes Zell, Andreas Int J Mol Sci Article We present a new tool for hepatocarcinogenicity evaluation of drug candidates in rodents. ToxDBScan is a web tool offering quick and easy similarity screening of new drug candidates against two large-scale public databases, which contain expression profiles for substances with known carcinogenic profiles: TG-GATEs and DrugMatrix. ToxDBScan uses a set similarity score that computes the putative similarity based on similar expression of genes to identify chemicals with similar genotoxic and hepatocarcinogenic potential. We propose using a discretized representation of expression profiles, which use only information on up- or down-regulation of genes as relevant features. Therefore, only the deregulated genes are required as input. ToxDBScan provides an extensive report on similar compounds, which includes additional information on compounds, differential genes and pathway enrichments. We evaluated ToxDBScan with expression data from 15 chemicals with known hepatocarcinogenic potential and observed a sensitivity of 88%. Based on the identified chemicals, we achieved perfect classification of the independent test set. ToxDBScan is publicly available from the ZBIT Bioinformatics Toolbox. MDPI 2014-10-21 /pmc/articles/PMC4227259/ /pubmed/25338045 http://dx.doi.org/10.3390/ijms151019037 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Römer, Michael Backert, Linus Eichner, Johannes Zell, Andreas ToxDBScan: Large-Scale Similarity Screening of Toxicological Databases for Drug Candidates |
title | ToxDBScan: Large-Scale Similarity Screening of Toxicological Databases for Drug Candidates |
title_full | ToxDBScan: Large-Scale Similarity Screening of Toxicological Databases for Drug Candidates |
title_fullStr | ToxDBScan: Large-Scale Similarity Screening of Toxicological Databases for Drug Candidates |
title_full_unstemmed | ToxDBScan: Large-Scale Similarity Screening of Toxicological Databases for Drug Candidates |
title_short | ToxDBScan: Large-Scale Similarity Screening of Toxicological Databases for Drug Candidates |
title_sort | toxdbscan: large-scale similarity screening of toxicological databases for drug candidates |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4227259/ https://www.ncbi.nlm.nih.gov/pubmed/25338045 http://dx.doi.org/10.3390/ijms151019037 |
work_keys_str_mv | AT romermichael toxdbscanlargescalesimilarityscreeningoftoxicologicaldatabasesfordrugcandidates AT backertlinus toxdbscanlargescalesimilarityscreeningoftoxicologicaldatabasesfordrugcandidates AT eichnerjohannes toxdbscanlargescalesimilarityscreeningoftoxicologicaldatabasesfordrugcandidates AT zellandreas toxdbscanlargescalesimilarityscreeningoftoxicologicaldatabasesfordrugcandidates |