{"id":161,"date":"2021-12-19T00:04:41","date_gmt":"2021-12-18T23:04:41","guid":{"rendered":"http:\/\/metachemibio.webgazel.pl\/?page_id=161"},"modified":"2025-06-02T09:43:00","modified_gmt":"2025-06-02T07:43:00","slug":"toxic-compounds","status":"publish","type":"page","link":"https:\/\/biochemia.uwm.edu.pl\/metachemibio\/toxic-compounds\/","title":{"rendered":"Toxic compounds"},"content":{"rendered":"\n<h4 class=\"wp-block-heading has-medium-font-size\" id=\"toxic-compounds\">Toxic compounds<\/h4>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><tbody><tr><td><a target=\"_blank\" href=\"http:\/\/actor.epa.gov\/actor\/faces\/ACToRHome.jsp\" rel=\"noreferrer noopener\">ACToR<\/a><\/td><td>Judson R. S., Martin M. T., Egeghy P., Gangwal S., Reif D. M., Kothiya P., Wolf M., Cathey T., Transue T., Smith D., Vail J., Frame A., Mosher S., Cohen Hubal E. A., Richard A. M., Aggregating data for computational toxicology applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) system. International Journal of Molecular Sciences, 2012, 13, 1805-1831.&nbsp;<a target=\"_blank\" href=\"http:\/\/www.mdpi.com\/1422-0067\/13\/2\/1805\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"http:\/\/bioinf.xmu.edu.cn\/ADReCS-Target\/index.jsp\" target=\"_blank\" rel=\"noreferrer noopener\">ADReCS-Target<\/a><\/td><td>Huang L.-H., He Q.-S., Liu K., Cheng J., Zhong M.-D., Chen L.-S., Yao L.-X., Ji Z.-L., ADReCS-Target: target profiles for aiding drug safety research and application. Nucleic Acids Research, 2018, 46, D911\u2013D917.&nbsp;<a href=\"https:\/\/academic.oup.com\/nar\/article\/46\/D1\/D911\/4372487\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/www.alanwood.net\/pesticides\/index.html\" rel=\"noreferrer noopener\">Alanwood.net pesticides<\/a><\/td><td>Provided by Alan Wood<\/td><\/tr><tr><td><a href=\"http:\/\/apdb.di.univr.it\/apdb\/home\" target=\"_blank\" rel=\"noreferrer noopener\">APDB<\/a><\/td><td>Viesi E., Sardina D. S., Perricone U., Giugno R., APDB: a database on air pollutant characterization and similarity prediction. Database, 2023, Article No baad046. <a href=\"https:\/\/academic.oup.com\/database\/article\/doi\/10.1093\/database\/baad046\/7224319?login=true\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/www.atsdr.cdc.gov\/substances\/index.asp\" rel=\"noreferrer noopener\">ATSDR<\/a><\/td><td>Hayes A., Chemical compendia. in: Wexler P. (Editor) &#8222;Information resources in toxicology (Fourth edition)\u201d. Elsevier Inc., 2009, pp. 123-128.&nbsp;<a target=\"_blank\" href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/B9780123735935000124\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"https:\/\/www.canada.ca\/en\/health-canada\/services\/drugs-health-products\/medeffect-canada\/adverse-reaction-database.html\" target=\"_blank\" rel=\"noreferrer noopener\">Canada Vigilance adverse reaction online database<\/a><\/td><td>Provider: Government of Canada<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/toxnet.nlm.nih.gov\/cgi-bin\/sis\/htmlgen?CCRIS\" rel=\"noreferrer noopener\">CCRIS<\/a><\/td><td>Provider: US National Library of Medicine<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/cwtung.kmu.edu.tw\/chemdis\/\" rel=\"noreferrer noopener\">ChemDIS<\/a><\/td><td>Tung C.-W., ChemDIS: a chemical\u2013disease inference system based on chemical\u2013protein interactions. Journal of Cheminformatics, 2015, 7, Article No 25.&nbsp;<a target=\"_blank\" href=\"http:\/\/www.jcheminf.com\/content\/7\/1\/25\/abstract\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"https:\/\/comptox.epa.gov\/dashboard\" target=\"_blank\" rel=\"noreferrer noopener\">CompTox<\/a><\/td><td>Lowe C. N., Williams A. J., Enabling high-throughput searches for multiple chemical data using the U.S.-EPA CompTox chemicals dashboard. Journal of Chemical Information and Modeling, 2021, 61, 565\u2013570.&nbsp;<a href=\"https:\/\/pubs.acs.org\/doi\/10.1021\/acs.jcim.0c01273\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"https:\/\/contaminantdb.ca\/\" target=\"_blank\" rel=\"noreferrer noopener\">ContaminantDB<\/a><\/td><td>Provider: University of Alberta<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/toxnet.nlm.nih.gov\/cpdb\/\" rel=\"noreferrer noopener\">CPDB<\/a><\/td><td>Fitzpatrick R. B., CPDB: Carcinogenic potency database. Medical Reference Services Quarterly, 2008, 27, 303-311.<a target=\"_blank\" href=\"http:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/02763860802198895#.U0UOYqJiIgp\" rel=\"noreferrer noopener\">&nbsp;Abstract<\/a><\/td><\/tr><tr><td><a href=\"http:\/\/www.rmeonline.net\/CREST\/r1\/start.php\" target=\"_blank\" rel=\"noreferrer noopener\">CREST<\/a><\/td><td>Provider: Brunel University London<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/ctdbase.org\/voc.go;jsessionid=9CDD222D6406AE98060F0111C4EA0870?type=chem\" rel=\"noreferrer noopener\">CTD Chemicals<\/a><\/td><td>Davis A. P., Wiegers T. C., Sciaky D., Barkalow F., Strong M., Wyatt B., Wiegers J., McMorran R., Abrar S., Mattingly C. J., Comparative Toxicogenomics Database\u2019s 20th anniversary: update 2025. Nucleic Acids Research, 2025, 53, D1328\u2013D1334.<a href=\"https:\/\/academic.oup.com\/nar\/article\/53\/D1\/D1328\/7816860\" target=\"_blank\" rel=\"noreferrer noopener\"> Abstract<\/a><\/td><\/tr><tr><td><a href=\"https:\/\/qsar.food.dtu.dk\/\" target=\"_blank\" rel=\"noreferrer noopener\">Danish QSAR Database<\/a><\/td><td>Provider: DTU National Food Institute<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/bidd.nus.edu.sg\/group\/drt\/dart.asp\" rel=\"noreferrer noopener\">DART<\/a><\/td><td>Ji Z. L., Han L. Y., Yap C. W., Sun L. Z., Chen X., Chen Y. Z., DART: Drug Adverse Reaction Target Database. Drug Safety, 2003, 26, 685-690.&nbsp;<a target=\"_blank\" href=\"http:\/\/link.springer.com\/article\/10.2165\/00002018-200326100-00002\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/www.dixa-fp7.eu\/\" rel=\"noreferrer noopener\">diXa<\/a><\/td><td>Hendrickx D M., Aerts H. J. W. L., Caiment F., Clark D., Ebbels T. M. D., Evelo C. T., Gmuender H., Dennie G.A.J. Hebels D. G. A. J., Herwig R., Hescheler J., Jennen D. G. J., Jetten M. J. A., Kanterakis S., Keun H. C., Matser V., Overington J. P., Pilicheva E., Sarkans U., Segura-Lepe M. P., Sotiriadou I., Wittenberger T., Wittwehr C., Zanzi A., Kleinjans J. C. S., diXa: a data infrastructure for chemical safety assessment. Bioinformatics, 2015, 31, 1505\u20131507.&nbsp;<a target=\"_blank\" href=\"http:\/\/bioinformatics.oxfordjournals.org\/content\/31\/9\/1505.abstract\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"https:\/\/izomery.pzh.gov.pl\/\" target=\"_blank\" rel=\"noreferrer noopener\">e-Baza izomer\u00f3w trans<\/a><\/td><td>Provider: Instytut \u017bywno\u015bci i \u017bywienia<\/td><\/tr><tr><td><a href=\"https:\/\/echa.europa.eu\/home\" target=\"_blank\" rel=\"noreferrer noopener\">ECHA<\/a><\/td><td>Provider: European Chemicals Agency<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/www.echemportal.org\/echemportal\/page.action?pageID=0\" rel=\"noreferrer noopener\">eChemPortal<\/a><\/td><td>Provider: OECD<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/cfpub.epa.gov\/ecotox\/\" rel=\"noreferrer noopener\">ECOTOX<\/a><\/td><td>Provider: US Environmental Protection Agency<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/edcs.unicartagena.edu.co\/\" rel=\"noreferrer noopener\">EDCs DataBank<\/a><\/td><td>Montes-Grajales D., Olivero-Verbel J., 2015, EDCs DataBank: 3D-Structure database of endocrine disrupting chemicals. Toxicology, 2015, 327, 87\u201394.&nbsp;<a target=\"_blank\" href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0300483X14002273\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/edkb.fda.gov\/webstart\/edkb\/index.html\" rel=\"noreferrer noopener\">EKDB<\/a><\/td><td>Ding D., Xu L., Fang H., Hong H., Perkins R., Harris S., Bearden E. D., Shi L., Tong W., The EDKB: An established knowledge base for endocrine disrupting chemicals. BMC Bioinformatics, 2010, 11 (Suppl. 6), Article No S5.&nbsp;<a target=\"_blank\" href=\"http:\/\/www.biomedcentral.com\/1471-2105\/11\/S6\/S5\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/cadd.imim.es\/etox-library\/\" rel=\"noreferrer noopener\">eTOX Library<\/a><\/td><td>Cases M., Pastor M., Sanz F., 2013, The eTOX Library of public resources for in silico toxicity prediction. Molecular Informatics, 2013, 32, 24\u201335.&nbsp;<a target=\"_blank\" href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/minf.201200099\/abstract\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"http:\/\/exposome-explorer.iarc.fr\/\" target=\"_blank\" rel=\"noreferrer noopener\">Exposome-Explorer<\/a><\/td><td>Neveu V., Nicolas G., Salek R. M., Wishart D. S., Scalbert A., Exposome-Explorer 2.0: an update incorporating candidate dietary biomarkers and dietary associations with cancer risk. Nucleic Acids Research, 2020, 48, D908\u2013D912.&nbsp;<a href=\"https:\/\/academic.oup.com\/nar\/article\/48\/D1\/D908\/5625534\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/extoxnet.orst.edu\/ghindex.html\" rel=\"noreferrer noopener\">EXTOXNET<\/a><\/td><td>Providers: University of California-Davis, Oregon State University, Michigan State University, Cornell University, University of Idaho<\/td><\/tr><tr><td><a href=\"https:\/\/www.fda.gov\/drugs\/drug-approvals-and-databases\/fda-adverse-event-reporting-system-faers\" target=\"_blank\" rel=\"noreferrer noopener\">FAERS<\/a><\/td><td>Provider: Food and Drug Administration<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/toxnet.nlm.nih.gov\/cgi-bin\/sis\/htmlgen?GENETOX\" rel=\"noreferrer noopener\">GENETOX<\/a><\/td><td>Provider: US National Library of Medicine<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/www.heraproject.com\/RiskAssessment.cfm\" rel=\"noreferrer noopener\">HERA<\/a><\/td><td>&nbsp;<\/td><\/tr><tr><td><a href=\"https:\/\/drugdesign.riken.jp\/hERGdb\/\" target=\"_blank\" rel=\"noreferrer noopener\">hERGdb<\/a><\/td><td>Ogura K., Sato T., Yuki H., Honma T., 2019, Support Vector Machine model for hERG inhibitory activities based on the integrated hERG database using descriptor selection by NSGA-II. Scientific Reports, 9, Article No 12220.&nbsp;<a href=\"https:\/\/www.nature.com\/articles\/s41598-019-47536-3\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"https:\/\/kobic.re.kr\/htp\/\" target=\"_blank\" rel=\"noreferrer noopener\">HTP<\/a><\/td><td>Han J., Zhung W., Jang I., Lee J., Kang M. J., Lee T. D., Kwack S. J., Kim K.-B., Hwang D., Lee B., Kim H. S., Kim W. Y., Lee S., HepatoToxicity Portal (HTP): an integrated database of drug\u2011induced hepatotoxicity knowledgebase and graph neural network\u2011based prediction model. Journal of Cheminformatics, 2025, 17, Article No 48. <a href=\"https:\/\/jcheminf.biomedcentral.com\/articles\/10.1186\/s13321-025-00992-8\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/www.epa.gov\/iris\/index.html\" rel=\"noreferrer noopener\">IRIS<\/a><\/td><td>Provider: US Environmental Protection Agency<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/www.tera.org\/iter\/\" rel=\"noreferrer noopener\">ITER<\/a><\/td><td>Tomasulo P., ITER-International Toxicity Estimates for Risk, new TOXNET\u00ae database. Medical Reference Services Quarterly, 2005, 24, 55-66.&nbsp;<a target=\"_blank\" href=\"http:\/\/www.tandfonline.com\/doi\/abs\/10.1300\/J115v24n01_05#.VEi3glduSvl\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/agrochemicals.iupac.org\/\" rel=\"noreferrer noopener\">IUPAC Agrochemicals<\/a><\/td><td>&nbsp;<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/www.genome.jp\/kegg\/brite.html\" rel=\"noreferrer noopener\">KEGG BRITE<\/a><\/td><td>Kanehisa M., Furumichi M., Sato Y., Matsuura Y., Ishiguro-Watanabe M., KEGG: biological systems database as a model of the real world. Nucleic Acids Research, 2025, 53, D672\u2013D677. <a href=\"https:\/\/academic.oup.com\/nar\/article\/53\/D1\/D672\/7824602\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/apps.kemi.se\/nclass\/\" rel=\"noreferrer noopener\">KemI N-class<\/a><\/td><td>Providers: Nordic Council of Ministers; European Chemicals Bureau<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/apps.kemi.se\/riskline\/\" rel=\"noreferrer noopener\">KemI Riskline<\/a><\/td><td>Provider: Swedish Chemicals Agency<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/livertox.nih.gov\/index.html\" rel=\"noreferrer noopener\">LiverTox<\/a><\/td><td>Provider: National Institutes of Health<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/www.fda.gov\/ScienceResearch\/BioinformaticsTools\/LiverToxicityKnowledgeBase\/default.htm\" rel=\"noreferrer noopener\">LTKB<\/a><\/td><td>Chen M. J., Vijay V., Shi Q., Liu Z. C., Fang H., Tong W. D., FDA-approved drug labeling for the study of drug-induced liver injury. Drug Discovery Today, 2011, 16, 697-703.&nbsp;<a target=\"_blank\" href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1359644611001668\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/www.lmmd.org\/online_services\/metaadedb\/\" rel=\"noreferrer noopener\">MetaADEDB<\/a><\/td><td>Yu Z., Wu Z, Li W., Liu G., Tang Y., MetaADEDB 2.0: a comprehensive database on adverse drug events. Bioinformatics, 2021, 37, 2221\u20132222. <a href=\"https:\/\/academic.oup.com\/bioinformatics\/article-abstract\/37\/15\/2221\/5988483?redirectedFrom=fulltext\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/npic.orst.edu\/\" rel=\"noreferrer noopener\">NPIC<\/a><\/td><td>&nbsp;<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/ntp.niehs.nih.gov\/?objectid=72016020-BDB7-CEBA-F3E5A7965617C1C1\" rel=\"noreferrer noopener\">NTP databases<\/a><\/td><td>&nbsp;<\/td><\/tr><tr><td><a href=\"https:\/\/www.efsa.europa.eu\/en\/data\/chemical-hazards-data\" target=\"_blank\" rel=\"noreferrer noopener\">OpenFoodTox<\/a><\/td><td>Dorne J. L., Richardson J., Kass G., Georgiadis N., Monguidi M., Pasinato L., Cappe S., Verhagen H., Robinson T., Editorial: OpenFoodTox: EFSA\u2019s open source toxicological database on chemical hazards in food and feed. EFSA Journal, 2017, 15, Article No e15011.&nbsp;<a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.2903\/j.efsa.2017.e15011\/full\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/toxico.nibio.go.jp\/open-tggates\/english\/search.html\" rel=\"noreferrer noopener\">Open TG-Gates<\/a><\/td><td>Igarashi Y., Nakatsu N., Yamashita T., Ono A., Ohno Y., Urushidani T. Yamada H., Open TG-GATEs: a large-scale toxicogenomics database. Nucleic Acids Research, 2015, 43, D921\u2013D927.&nbsp;<a target=\"_blank\" href=\"http:\/\/nar.oxfordjournals.org\/content\/43\/D1\/D921.abstract\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/www.pesticideinfo.org\/\" rel=\"noreferrer noopener\">PAN Pesticide<\/a><\/td><td>Provider: Pesticide Action Network<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/www.ars.usda.gov\/Services\/docs.htm?docid=14199\" rel=\"noreferrer noopener\">Pesticide&nbsp;Properties&nbsp;Database<\/a><\/td><td>Heller S. R., Scott K., Bigwood D. W., Need for data evaluation of physical and chemical properties of pesticides: The ARS pesticide properties database. Journal of Chemical Information and Computer Sciences, 1989, 29, 159-162.&nbsp;<a href=\"http:\/\/pubs.acs.org\/doi\/abs\/10.1021\/ci00063a005\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"http:\/\/zanieczyszczenia.pfpz.pl\/index\/?id=8944871f1c9865a77a3d9c92cadf124d\" target=\"_blank\" rel=\"noreferrer noopener\">PFP\u017b zanieczyszczenia chemiczne<\/a><\/td><td>Provider: Polska Federacja Producent\u00f3w \u017bywno\u015bci<\/td><\/tr><tr><td><a href=\"http:\/\/cwtung.kmu.edu.tw\/skinsensdb\/\" target=\"_blank\" rel=\"noreferrer noopener\">SkinSensDB<\/a><\/td><td>Wang C.-C., Lin Y.-C., Wang S.-S., Shih C., Lin Y.-H., Tung C.-W., SkinSensDB: a curated database for skin sensitization assays. Journal of Cheminformatics, 2017, 9, Article No 5.&nbsp;<a href=\"https:\/\/jcheminf.springeropen.com\/articles\/10.1186\/s13321-017-0194-2\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"http:\/\/smcvdb.rcb.ac.in:4321\/\" target=\"_blank\" rel=\"noreferrer noopener\">SMCVdb<\/a><\/td><td>Pandey A. D., Sharma G., Sharma A., Vrati S., Nair D. T., SMCVdb: a database of experimental cellular toxicity information for drug candidate molecules. Database, 2024, Article No baae100. <a href=\"https:\/\/academic.oup.com\/database\/article\/doi\/10.1093\/database\/baae100\/7826604\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/bioinf-services.charite.de\/supertoxic\/\" rel=\"noreferrer noopener\">SuperToxic<\/a><\/td><td>Schmidt U., Struci S., Gruening B., Hossach J., Jaeger I.S., Parol R., Lindequist U., Teuscher E., Preissner R., SuperToxic: comprehensive database of toxic compounds. Nucleic Acids Research, 2009, 37, D295-D299.&nbsp;<a target=\"_blank\" href=\"http:\/\/nar.oxfordjournals.org\/content\/37\/suppl_1\/D295.abstract\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/www.t3db.org\/\" rel=\"noreferrer noopener\">T3DB<\/a><\/td><td>Wishart D., Arndt D., Pon A., Sajed T., Guo A. C., Djoumbou Y., Knox C., Wilson M., Liang Y., Grant J., Liu Y., Goldansaz S. A., Rappaport S. M., T3DB: the toxic exposome database. Nucleic Acids Research, 2015, 43, D928\u2013D934.&nbsp;<a target=\"_blank\" href=\"http:\/\/nar.oxfordjournals.org\/content\/43\/D1\/D928.abstract\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"http:\/\/www.bioinsilico.org\/T-ARDIS\/\" target=\"_blank\" rel=\"noreferrer noopener\">T-ARDIS<\/a><\/td><td>Galletti C., Bota P. M., Oliva B., Fernandez-Fuentes N., Mining drug\u2013target and drug\u2013adverse drug reaction databases to identify target\u2013adverse drug reaction relationships. Database, 2021, Article No baab068. <a href=\"https:\/\/academic.oup.com\/database\/article\/doi\/10.1093\/database\/baab068\/6408542\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"https:\/\/sandbox.ntp.niehs.nih.gov\/bodymap\/\" target=\"_blank\" rel=\"noreferrer noopener\">Tox21BodyMap<\/a><\/td><td>Borrel A., Auerbach S. S., Houck K. A., Kleinstreuer N. C., Tox21BodyMap: a webtool to map chemical effects on the human body. Nucleic Acids Research, 2020, 48, W472\u2013W476.&nbsp;<a href=\"https:\/\/academic.oup.com\/nar\/article\/48\/W1\/W472\/5850804\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"http:\/\/wiki.toxbank.net\/wiki\/Main_Page\" target=\"_blank\" rel=\"noreferrer noopener\">ToxBank<\/a><\/td><td>Authors: Barry Hardy, David Bower, Egon Willighagen, Glenn Myatt, Matthew Clark, Micha Rautenberg<\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/toxdb.molgen.mpg.de\/\" rel=\"noreferrer noopener\">ToxDB<\/a><\/td><td>Hardt C., Beber M. E., Rasche A., Kamburov A., Hebels D. G., Kleinjans J. C., Herwig R., ToxDB: pathway-level interpretation of drug-treatment data. Database, 2016, Article No baw052.&nbsp;<a target=\"_blank\" href=\"http:\/\/database.oxfordjournals.org\/content\/2016\/baw052.abstract\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"https:\/\/www.toxicodb.ca\/\" target=\"_blank\" rel=\"noreferrer noopener\">ToxicoDB<\/a><\/td><td>Nair S. K., Eeles C., Ho C., Beri G., Yoo E., Tkachuk D., Tang A., Nijrabi P., Smirnov P., Seo H., Jennen D., Haibe-Kains B., ToxicoDB: an integrated database to mine and visualize large-scale toxicogenomic datasets. Nucleic Acids Research, 2020, 48, W455\u2013W462.&nbsp;<a href=\"https:\/\/academic.oup.com\/nar\/article\/48\/W1\/W455\/5838860\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"https:\/\/toxin-search.netlify.app\/\" target=\"_blank\" rel=\"noreferrer noopener\">TOXIN<\/a><\/td><td>Sepehri S., Heymans A., De Win D., Maushagen J., Sanctorum A., Debruyne C., Robim M. Rodrigues R. M., De Kock J., Rogiers V., Troyer Q., Vanhaecke T., The TOXIN knowledge graph: supporting animal-free risk assessment of cosmetics. Database, 2025, Article No baae121. <a href=\"https:\/\/academic.oup.com\/database\/article\/doi\/10.1093\/database\/baae121\/7989333\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/toxnet.nlm.nih.gov\/\" rel=\"noreferrer noopener\">TOXNET<\/a><\/td><td>Fowler S., Schnall J. G., TOXNET: Information on toxicology and environmental health. American Journal of Nursing, 2014, 114, 61-63.&nbsp;<a target=\"_blank\" href=\"http:\/\/journals.lww.com\/ajnonline\/Abstract\/2014\/02000\/TOXNET___Information_on_Toxicology_and.35.aspx\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/www.epa.gov\/ncct\/toxrefdb\/\" rel=\"noreferrer noopener\">ToxRefDB<\/a><\/td><td>Martin M. T., Mendez E., Corum D. G., Judson R. S., Kavlock R. J., Rotroff D. M., Dix D. J., Profiling the reproductive toxicity of chemicals from multigeneration studies in the toxicity reference database. Toxicological Sciences, 2009, 110, 181-190.&nbsp;<a target=\"_blank\" href=\"http:\/\/toxsci.oxfordjournals.org\/content\/110\/1\/181.abstract\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"https:\/\/toxric.bioinforai.tech\/home\" target=\"_blank\" rel=\"noreferrer noopener\">TOXRIC<\/a><\/td><td>Wu L., Yan B., Han J., Li R., Xiao J., He S., Bo X., TOXRIC: a comprehensive database of toxicological data and benchmarks. Nucleic Acids Research, 2023, 51, D1432\u2013D1445. <a href=\"https:\/\/academic.oup.com\/nar\/article\/51\/D1\/D1432\/6833256\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/toxygates.nibio.go.jp\/toxygates\/\" rel=\"noreferrer noopener\">Toxygates<\/a><\/td><td>Nystr\u00f6m-Persson J., Igarashi Y., Ito M., Morita M., Nakatsu N., Yamada H., Mizuguchi K., 2013, Toxygates: interactive toxicity analysis on a hybrid microarray and linked data platform. Bioinformatics, 2013, 29, 3080-3086.&nbsp;<a target=\"_blank\" href=\"http:\/\/bioinformatics.oxfordjournals.org\/content\/29\/23\/3080.abstract\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"http:\/\/trsrd.wpengxs.cn\/\" target=\"_blank\" rel=\"noreferrer noopener\">TRSRD<\/a><\/td><td>Wang Y., Wang P., Zhang Y., Yao S., Xu Z., Zhang Y., TRSRD: a database for research on risky substances in tea using natural language processing and knowledge graph-based techniques. Database, 2023, Article No baad031. <a href=\"https:\/\/academic.oup.com\/database\/article\/doi\/10.1093\/database\/baad031\/7158386\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a href=\"http:\/\/wellexplorer.org\/#\/\" target=\"_blank\" rel=\"noreferrer noopener\">Well Explorer<\/a><\/td><td>Wetherbee O., Meeker J. R., DeVoto C., Penning T. M., Moore J. H., Boland M. R., WellExplorer: an integrative resource linking hydraulic fracturing chemicals with hormonal pathways and geographic location. Database, 2020, Article No baaa053.&nbsp;<a href=\"https:\/\/academic.oup.com\/database\/article\/doi\/10.1093\/database\/baaa053\/5875239\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><tr><td><a target=\"_blank\" href=\"http:\/\/www.who.int\/foodsafety\/databases\/en\/\" rel=\"noreferrer noopener\">WHO Food Safety<\/a><a href=\"http:\/\/wellexplorer.org\/#\/\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><\/td><td>Provider: World Health Organization<\/td><\/tr><tr><td><a href=\"https:\/\/bioinformatics.charite.de\/withdrawn_3\/index.php\" target=\"_blank\" rel=\"noreferrer noopener\">Withdrawn<\/a><\/td><td>Gallo K., Goede A., Eckert O.-A., Gohlke B.-O., Preissner R., Withdrawn 2.0\u2014update on withdrawn drugs with pharmacovigilance data. Nucleic Acids Research, 2024, 52, D1503\u2013D1507. <a href=\"https:\/\/academic.oup.com\/nar\/article\/52\/D1\/D1503\/7424440\" target=\"_blank\" rel=\"noreferrer noopener\">Abstract<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Toxic compounds ACToR Judson R. S., Martin M. T., Egeghy P., Gangwal S., Reif D. M., Kothiya P., Wolf M., Cathey T., Transue T., Smith D., Vail J., Frame A., Mosher S., Cohen Hubal E. A., Richard A. M., Aggregating data for computational toxicology applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource&#8230;<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_lmt_disableupdate":"no","_lmt_disable":"no","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"left","_kad_post_sidebar_id":"sidebar-primary","_kad_post_content_style":"boxed","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"footnotes":""},"class_list":["post-161","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/biochemia.uwm.edu.pl\/metachemibio\/wp-json\/wp\/v2\/pages\/161","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/biochemia.uwm.edu.pl\/metachemibio\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/biochemia.uwm.edu.pl\/metachemibio\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/biochemia.uwm.edu.pl\/metachemibio\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/biochemia.uwm.edu.pl\/metachemibio\/wp-json\/wp\/v2\/comments?post=161"}],"version-history":[{"count":22,"href":"https:\/\/biochemia.uwm.edu.pl\/metachemibio\/wp-json\/wp\/v2\/pages\/161\/revisions"}],"predecessor-version":[{"id":1093,"href":"https:\/\/biochemia.uwm.edu.pl\/metachemibio\/wp-json\/wp\/v2\/pages\/161\/revisions\/1093"}],"wp:attachment":[{"href":"https:\/\/biochemia.uwm.edu.pl\/metachemibio\/wp-json\/wp\/v2\/media?parent=161"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}