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Accessed 21 Aug 2017"},{"key":"247_CR79","unstructured":"OPERA Model Calculation Report for the logP calculation for Bisphenol A \n                    https:\/\/comptox.epa.gov\/dashboard\/dsstoxdb\/calculation_details?model_id=22&search=20182\n                    \n                  . Accessed 15 Sept 2017"},{"key":"247_CR80","unstructured":"EPA Toxicity Estimation Software Tool (TEST) \n                    https:\/\/www.epa.gov\/chemical-research\/toxicity-estimation-software-tool-test\n                    \n                  . Accessed 18 Sept 2017"},{"key":"247_CR81","unstructured":"TEST Model Calculation Report for acetonitrile. \n                    https:\/\/comptox.epa.gov\/dashboard\/dsstoxdb\/test_prediction_details?casrn=75-05-8&cid=9&dtxsid=DTXSID7020009&model_id=16\n                    \n                  . Accessed 21 Sept 2017"},{"key":"247_CR82","unstructured":"Advanced Chemistry Development (ACD\/Labs) Percepta Batch. \n                    http:\/\/www.acdlabs.com\/products\/percepta\/batch.php\n                    \n                  . Accessed 22 Sept 2017"},{"key":"247_CR83","unstructured":"EPI (Estimation Programs Interface) Suite\u2122 \n                    https:\/\/www.epa.gov\/tsca-screening-tools\/epi-suitetm-estimation-program-interface"},{"key":"247_CR84","unstructured":"EPI Suite web services. \n                    https:\/\/episuite.srcinc.com\/EpiWebServices\/\n                    \n                  . Accessed 22 Aug 2017"},{"issue":"1","key":"247_CR85","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1021\/acs.jcim.6b00625","volume":"57","author":"Q Zang","year":"2017","unstructured":"Zang Q, Mansouri K, Williams AJ, Judson RS, Allen DG, Casey WM, Kleinstreuer NC (2017) In silico prediction of physicochemical properties of environmental chemicals using molecular fingerprints and machine learning. J Chem Inf Model 57(1):36\u201349. \n                    https:\/\/doi.org\/10.1021\/acs.jcim.6b00625","journal-title":"J Chem Inf Model"},{"key":"247_CR86","unstructured":"EPA Regional Screening Levels (RSLs)-Generic Tables (2017). \n                    https:\/\/www.epa.gov\/risk\/regional-screening-levels-rsls-generic-tables-june-2017\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR87","unstructured":"CompTox Chemistry Dashboard: ToxValDB data for N-vinyl-2-pyrrolidone. \n                    https:\/\/comptox.epa.gov\/dashboard\/dsstoxdb\/results?search=N-Vinyl-2-pyrrolidone#point-of-departure\n                    \n                  . Accessed 23 Sept 2017"},{"issue":"1","key":"247_CR88","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1093\/toxsci\/kfr254","volume":"125","author":"BA Wetmore","year":"2012","unstructured":"Wetmore BA, Wambaugh JF, Ferguson SS, Sochaski MA, Rotroff DM, Freeman K, Clewell HJ 3rd, Dix DJ, Andersen ME, Houck KA, Allen B, Judson RS, Singh R, Kavlock RJ, Richard AM, Thomas RS (2012) Integration of dosimetry, exposure, and high-throughput screening data in chemical toxicity assessment. Toxicol Sci 125(1):157\u2013174. \n                    https:\/\/doi.org\/10.1093\/toxsci\/kfr254","journal-title":"Toxicol Sci"},{"issue":"7","key":"247_CR89","doi-asserted-by":"publisher","first-page":"1114","DOI":"10.1016\/j.tiv.2006.02.002","volume":"20","author":"M G\u00fclden","year":"2006","unstructured":"G\u00fclden M, Dierickx P, Seibert H (2006) Validation of a prediction model for estimating serum concentrations of chemicals which are equivalent to toxic concentrations in vitro. Toxicol In Vitro 20(7):1114\u20131124. \n                    https:\/\/doi.org\/10.1016\/j.tiv.2006.02.002","journal-title":"Toxicol In Vitro"},{"key":"247_CR90","doi-asserted-by":"publisher","DOI":"10.1093\/toxsci\/kfv171","author":"BA Wetmore","year":"2015","unstructured":"Wetmore BA, Wambaugh JF, Allen B, Ferguson SS, Sochaski MA, Setzer RW, Houck KA, Strope CL, Cantwell K, Judson RS, LeCluyse E, Clewell HJ 3rd, Thomas RS, Andersen ME (2015) Incorporating high-throughput exposure predictions with dosimetry-adjusted in vitro bioactivity to inform chemical toxicity testing. Toxicol Sci. \n                    https:\/\/doi.org\/10.1093\/toxsci\/kfv171","journal-title":"Toxicol Sci"},{"key":"247_CR91","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v079.i04","author":"RG Pearce","year":"2017","unstructured":"Pearce RG, Setzer RW, Strope CL, Sipes NS, Wambaugh JF (2017) httk: R package for high-throughput toxicokinetics. J Stat Softw. \n                    https:\/\/doi.org\/10.18637\/jss.v079.i04","journal-title":"J Stat Softw"},{"issue":"11","key":"247_CR92","doi-asserted-by":"publisher","first-page":"2243","DOI":"10.1021\/acs.jcim.6b00291","volume":"56","author":"BL Ingle","year":"2016","unstructured":"Ingle BL, Veber BC, Nichols JW, Tornero-Velez R (2016) Informing the human plasma protein binding of environmental chemicals by machine learning in the pharmaceutical space: applicability domain and limits of predictability. J Chem Inf Model 56(11):2243\u20132252. \n                    https:\/\/doi.org\/10.1021\/acs.jcim.6b00291","journal-title":"J Chem Inf Model"},{"issue":"2","key":"247_CR93","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1089\/aivt.2014.0008","volume":"1","author":"CR Kirman","year":"2015","unstructured":"Kirman CR, Aylward LL, Wetmore BA, Thomas RS, Sochaski M, Ferguson SS, Csiszar SA, Jolliet O (2015) Quantitative property\u2013property relationship for screening-level prediction of intrinsic clearance: a tool for exposure modeling for high-throughput toxicity screening data. Appl In Vitro Toxicol 1(2):140\u2013146. \n                    https:\/\/doi.org\/10.1089\/aivt.2014.0008","journal-title":"Appl In Vitro Toxicol"},{"key":"247_CR94","unstructured":"Isaacs KK, Phillips KA, Biryol D, Dionisio KL, Price PS Consumer product chemical weight fractions from ingredient lists. J Expo Sci Environ Epidemiol (in press)"},{"key":"247_CR95","unstructured":"National Health and Nutrition Examination Survey (NHANES). \n                    https:\/\/www.cdc.gov\/nchs\/nhanes\/\n                    \n                  . Accessed 25 Sept 2017"},{"issue":"D1","key":"247_CR96","doi-asserted-by":"publisher","first-page":"D400","DOI":"10.1093\/nar\/gkr1132","volume":"40","author":"Y Wang","year":"2011","unstructured":"Wang Y, Xiao J, Suzek TO, Zhang J, Wang J, Zhou Z, Han L, Karapetyan K, Dracheva S, Shoemaker BA, Bolton E, Gindulyte A, Bryant SH (2011) PubChem\u2019s BioAssay Database. Nucleic Acids Res 40(D1):D400\u2013D412. \n                    https:\/\/doi.org\/10.1093\/nar\/gkr1132","journal-title":"Nucleic Acids Res"},{"key":"247_CR97","unstructured":"PubChem widget documentation. \n                    https:\/\/pubchem.ncbi.nlm.nih.gov\/widget\/docs\/widget_help.html\n                    \n                  . Accessed 24 Sept 2017"},{"key":"247_CR98","unstructured":"CompTox Chemistry Dashboard: Visualization of ToxCast bioassay data for Bisphenol A. \n                    https:\/\/comptox.epa.gov\/dashboard\/dsstoxdb\/results?search=bisphenol+A#toxcast-summary\n                    \n                  . Accessed 21 Sept 2017"},{"key":"247_CR99","unstructured":"ToxCast Dashboard \n                    https:\/\/actorstage.rtpnc.epa.gov\/dashboard2\/\n                    \n                  . Accessed 24 Sept 2017"},{"key":"247_CR100","unstructured":"MySQL version of the InVitroDB database \n                    http:\/\/www.epa.gov\/chemical-research\/toxicity-forecaster-toxcasttm-data\n                    \n                  . Accessed 21 Sept 2017"},{"key":"247_CR101","unstructured":"CompTox Chemistry Dashboard: Google Scholar results set for Atrazine \n                    https:\/\/scholar.google.com\/scholar?hl=en&q=%22NOAEL%22%20AND%20%22Hazard%22%20AND%20%221912-24-9%22%20OR%20%22Atrazine%22\n                    \n                  . Accessed 21 Sept 2017"},{"key":"247_CR102","unstructured":"CompTox Chemistry Dashboard: Polychlorinated biphenyls \n                    https:\/\/comptox.epa.gov\/dashboard\/DTXSID5024267\n                    \n                  . Accessed 21 Sept 2017"},{"key":"247_CR103","unstructured":"CompTox Chemistry Dashboard: Polychlorinated biphenyls search query against Google Scholar. \n                    https:\/\/scholar.google.com\/scholar?hl=en&q=%22Hazard%22%20AND%20%221336-36-3%22%20OR%20%22Polychlorinated%20biphenyls%22\n                    \n                  . Accessed 23 Sept 2017"},{"key":"247_CR104","unstructured":"Baker N, Knudsen TaW AJ Abstract Sifter: a frontend and backend to PubMed. Submitted for publication"},{"key":"247_CR105","unstructured":"The Medical Subject Headings ontology fact sheet. \n                    https:\/\/www.nlm.nih.gov\/pubs\/factsheets\/mesh.html\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR106","unstructured":"PubMed web services. \n                    https:\/\/www.ncbi.nlm.nih.gov\/pmc\/tools\/developers\/\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR107","unstructured":"CompTox Chemistry Dashboard: Perfluorooctanesulfonic acid. \n                    https:\/\/comptox.epa.gov\/dashboard\/DTXSID3031864\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR108","unstructured":"EPA IRIS: Acrylamide web page. \n                    https:\/\/cfpub.epa.gov\/ncea\/iris2\/chemicalLanding.cfm?substance_nmbr=286\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR109","unstructured":"CompTox Chemistry Dashboard: IRIS Chemical List. \n                    https:\/\/comptox.epa.gov\/dashboard\/chemical_lists\/iris\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR110","unstructured":"CompTox Chemistry Dashboard: PPRTV Chemical List. \n                    http:\/\/comptox.ag.epa.gov\/dashboard\/chemical_lists\/pprtvweb\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR111","unstructured":"NIST Webbook: Mass Spectrum of Atrazine. \n                    http:\/\/webbook.nist.gov\/cgi\/cbook.cgi?ID=C1912-24-9&Mask=200#Mass-Spec\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR112","unstructured":"National Environmental Methods Index: Atrazine. \n                    https:\/\/www.nemi.gov\/methods\/analyte_results\/?media_name=&source=&instrumentation=&analyte_code=1912-24-9\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR113","unstructured":"Springer Materials: Atrazine \n                    http:\/\/materials.springer.com\/search?searchTerm=MXWJVTOOROXGIU-UHFFFAOYSA-N\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR114","unstructured":"ChemRTP Predictor: Atrazine. \n                    http:\/\/www.chemrtp.com\/chemical-info.ce?ID=MXWJVTOOROXGIU-UHFFFAOYSA-N\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR115","unstructured":"ECHA Infocard: Atrazine. \n                    https:\/\/echa.europa.eu\/substance-information\/-\/substanceinfo\/100.016.017\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR116","unstructured":"mzCloud: Atrazine. \n                    https:\/\/www.mzcloud.org\/compound\/Reference\/42\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR117","unstructured":"Comparative Toxicogenomics Database: Atrazine. \n                    http:\/\/ctdbase.org\/detail.go?type=chem&acc=D001280\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR118","unstructured":"NIOSH Safety Card: Atrazine. \n                    https:\/\/www.cdc.gov\/niosh\/ipcsneng\/neng0099.html\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR119","unstructured":"Wikipedia Chemistry project \n                    https:\/\/en.wikipedia.org\/wiki\/Wikipedia:WikiProject_Chemistry\/Curation\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR120","unstructured":"ChemSpider Curating Identifiers help. \n                    http:\/\/www.chemspider.com\/Help_CuratingIdentifiers.aspx\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR121","unstructured":"CompTox Chemistry Dashboard: Help Manual. \n                    https:\/\/comptox.epa.gov\/dashboard\/help\n                    \n                  . Accessed September 25th 2017"},{"key":"247_CR122","unstructured":"CompTox Chemistry Dashboard: Mass-based search. \n                    https:\/\/comptox.epa.gov\/dashboard\/dsstoxdb\/molecular_formulas?utf8=%E2%9C%93&formula=2&mass1=300.1220&mass2=5&ppm=1&include_halogens=1&carbon_min=1&carbon_max=50&hydrogen_min=0&hydrogen_max=100&oxygen_min=0&oxygen_max=20&nitrogen_min=0&nitrogen_max=20&phosphorus_min=0&phosphorus_max=10&sulfur_min=0&sulfur_max=10&fluorine_min=0&fluorine_max=30&chlorine_min=0&chlorine_max=10&bromine_min=0&bromine_max=10&iodine_min=0&iodine_max=10&other_mf_options=\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR123","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/j.envint.2015.12.008","volume":"88","author":"JE Rager","year":"2016","unstructured":"Rager JE, Strynar MJ, Liang S, McMahen RL, Richard AM, Grulke CM, Wambaugh JF, Isaacs KK, Judson R, Williams AJ, Sobus JR (2016) Linking high resolution mass spectrometry data with exposure and toxicity forecasts to advance high-throughput environmental monitoring. Environ Int 88:269\u2013280. \n                    https:\/\/doi.org\/10.1016\/j.envint.2015.12.008","journal-title":"Environ Int"},{"key":"247_CR124","doi-asserted-by":"publisher","unstructured":"Newton SR, McMahen RL, Sobus JR, Mansouri K, Williams AJ, McEachran A, Strynar MJ Suspect screening analysis of drinking water using point-of-use filters. Environ Pollut. \n                    https:\/\/doi.org\/10.1016\/j.enpol.2017.11.033","DOI":"10.1016\/j.enpol.2017.11.033"},{"key":"247_CR125","unstructured":"Sobus JR, Wambaugh JF, Isaacs KK, Williams AJ, McEachran AD, Richard AM, Grulke CM, Ulrich EM, Rager JE, Strynar MJ, Newton SR Advancing and integrating non-targeted analysis research at the US EPA. J Expo Sci Environ Epidemiol (accepted for publication)"},{"key":"247_CR126","unstructured":"CAS check digit. \n                    https:\/\/www.cas.org\/content\/chemical-substances\/checkdig\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR127","unstructured":"CompTox Chemistry Dashboard: Chemical lists. \n                    https:\/\/comptox.epa.gov\/dashboard\/chemical_lists\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR128","unstructured":"CompTox Chemistry Dashboard: Algal toxin chemical list. \n                    https:\/\/comptox.epa.gov\/dashboard\/chemical_lists\/algaltox\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR129","unstructured":"CompTox Chemistry Dashboard: Tox21 screening library chemical list. \n                    https:\/\/comptox.epa.gov\/dashboard\/chemical_lists\/tox21sl\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR130","unstructured":"EPA Toxicity Estimation Software Tool: Water solubility web service example. \n                    https:\/\/comptox.epa.gov\/dashboard\/web-test\/WS?smiles=ClC(Cl)(Cl)Cl\n                    \n                  . Accessed 23 Sept 2017"},{"key":"247_CR131","unstructured":"CompTox Chemistry Dashboard: Atrazine exposure monitoring data. \n                    https:\/\/comptox.epa.gov\/dashboard\/dsstoxdb\/results?utf8=%E2%9C%93&search=atrazine#exposure-monitoring\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR132","unstructured":"CompTox Chemistry Dashboard: Contact Us page. \n                    https:\/\/comptox.epa.gov\/dashboard\/contact_us\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR133","unstructured":"CompTox Chemistry Dashboard: Advanced search instructional video. \n                    https:\/\/youtu.be\/lZcDgF4gILw\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR134","unstructured":"CompTox Chemistry Dashboard: Data downloads page. \n                    https:\/\/comptox.epa.gov\/dashboard\/downloads\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR135","unstructured":"European Bioinformatics Institute: UniChem subset of DTXSIDs \n                    https:\/\/www.ebi.ac.uk\/unichem\/ucquery\/sourceDetails\/32\n                    \n                  . Accessed 21 Sept 2017"},{"key":"247_CR136","unstructured":"PubChem: DSSTox substance registration list page \n                    https:\/\/pubchem.ncbi.nlm.nih.gov\/source\/EPA%20DSSTox\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR137","unstructured":"ChemSpider: DSSTox data sources page. \n                    http:\/\/www.chemspider.com\/DatasourceDetails.aspx?id=40\n                    \n                  . Accessed 25 Sept 2017"},{"issue":"3","key":"247_CR138","doi-asserted-by":"publisher","first-page":"1811","DOI":"10.1021\/es4044374","volume":"48","author":"EL Schymanski","year":"2014","unstructured":"Schymanski EL, Singer HP, Longr\u00e9e P, Loos M, Ruff M, Stravs MA, Ripoll\u00e9s Vidal C, Hollender J (2014) Strategies to characterize polar organic contamination in wastewater: exploring the capability of high resolution mass spectrometry. Environ Sci Technol 48(3):1811\u20131818. \n                    https:\/\/doi.org\/10.1021\/es4044374","journal-title":"Environ Sci Technol"},{"issue":"21","key":"247_CR139","doi-asserted-by":"publisher","first-page":"6237","DOI":"10.1007\/s00216-015-8681-7","volume":"407","author":"EL Schymanski","year":"2015","unstructured":"Schymanski EL, Singer HP, Slobodnik J, Ipolyi IM, Oswald P, Krauss M, Schulze T, Haglund P, Letzel T, Grosse S, Thomaidis NS, Bletsou A, Zwiener C, Ib\u00e1\u00f1ez M, Portol\u00e9s T, de Boer R, Reid MJ, Onghena M, Kunkel U, Schulz W, Guillon A, Noyon N, Leroy G, Bados P, Bogialli S, Stipani\u010dev D, Rostkowski P, Hollender J (2015) Non-target screening with high-resolution mass spectrometry: critical review using a collaborative trial on water analysis. Anal Bioanal Chem 407(21):6237\u20136255. \n                    https:\/\/doi.org\/10.1007\/s00216-015-8681-7","journal-title":"Anal Bioanal Chem"},{"issue":"3","key":"247_CR140","doi-asserted-by":"publisher","first-page":"943","DOI":"10.1007\/s00216-010-3608-9","volume":"397","author":"M Krauss","year":"2010","unstructured":"Krauss M, Singer H, Hollender J (2010) LC-high resolution MS in environmental analysis: from target screening to the identification of unknowns. Anal Bioanal Chem 397(3):943\u2013951. \n                    https:\/\/doi.org\/10.1007\/s00216-010-3608-9","journal-title":"Anal Bioanal Chem"},{"key":"247_CR141","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-017-0219-x","author":"I Bla\u017eenovi\u0107","year":"2017","unstructured":"Bla\u017eenovi\u0107 I, Kind T, Torba\u0161inovi\u0107 H, Obrenovi\u0107 S, Mehta SS, Tsugawa H, Wermuth T, Schauer N, Jahn M, Biedendieck R, Jahn D, Fiehn O (2017) Comprehensive comparison of in silico MS\/MS fragmentation tools of the CASMI contest: database boosting is needed to achieve 93% accuracy. J Cheminform. \n                    https:\/\/doi.org\/10.1186\/s13321-017-0219-x","journal-title":"J Cheminform"},{"issue":"7","key":"247_CR142","doi-asserted-by":"publisher","first-page":"1729","DOI":"10.1007\/s00216-016-0139-z","volume":"409","author":"AD McEachran","year":"2016","unstructured":"McEachran AD, Sobus JR, Williams AJ (2016) Identifying known unknowns using the US EPA\u2019s CompTox Chemistry Dashboard. Anal Bioanal Chem 409(7):1729\u20131735. \n                    https:\/\/doi.org\/10.1007\/s00216-016-0139-z","journal-title":"Anal Bioanal Chem"},{"key":"247_CR143","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-016-0115-9","author":"C Ruttkies","year":"2016","unstructured":"Ruttkies C, Schymanski EL, Wolf S, Hollender J, Neumann S (2016) MetFrag relaunched: incorporating strategies beyond in silico fragmentation. J Cheminform. \n                    https:\/\/doi.org\/10.1186\/s13321-016-0115-9","journal-title":"J Cheminform"},{"key":"247_CR144","unstructured":"MetFrag. \n                    https:\/\/msbi.ipb-halle.de\/MetFrag\/\n                    \n                  . Accessed September 24th 2017"},{"issue":"10","key":"247_CR145","doi-asserted-by":"publisher","first-page":"5357","DOI":"10.1021\/acs.est.7b01908","volume":"51","author":"EL Schymanski","year":"2017","unstructured":"Schymanski EL, Williams AJ (2017) Open science for identifying \u201cKnown Unknown\u201d chemicals. Environ Sci Technol 51(10):5357\u20135359. \n                    https:\/\/doi.org\/10.1021\/acs.est.7b01908","journal-title":"Environ Sci Technol"},{"key":"247_CR146","unstructured":"McEachran AD, Mansouri K, Grulke C, Williams AJ MS-Ready structures for non-targeted and suspect screening analyses (in preparation)"},{"key":"247_CR147","unstructured":"EPA UVCB products. \n                    https:\/\/www.epa.gov\/tsca-inventory\/chemical-substances-unknown-or-variable-composition-complex-reaction-products-and\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR148","unstructured":"The NORMAN Network. \n                    http:\/\/www.norman-network.net\/\n                    \n                  . Accessed 23 Sept 2017"},{"key":"247_CR149","unstructured":"CompTox Chemistry Dashboard: Light oil, coal, coke oven. \n                    https:\/\/comptox.epa.gov\/dashboard\/DTXSID2028274\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR150","unstructured":"CompTox Chemistry Dashboard: Alkylbenzenesulfonate, linear. \n                    https:\/\/comptox.epa.gov\/dashboard\/DTXSID3020041\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR151","unstructured":"Surfactant List Screened in Swiss Wastewater (2014) \n                    https:\/\/comptox.epa.gov\/dashboard\/chemical_lists\/EAWAGSURF\n                    \n                  . Accessed 21 Sept 2017"},{"key":"247_CR152","unstructured":"Wikipedia: Markush structures. \n                    https:\/\/en.wikipedia.org\/wiki\/Markush_structure\n                    \n                  . Accessed 25 Sept 2017"},{"key":"247_CR153","unstructured":"Williams AJ (2017) Markush enumeration to manage, mesh and manipulate substances of unknown or variable composition. 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