the opentox predictive toxicology framework

1
S260 Abstracts / Toxicology Letters 189S (2009) S57–S273 P11 New structural alerts for carcinogenicity derived from a pesti- cide data set Susanne Stalford , Carol Marchant, Richard Williams Lhasa Limited, Knowledge Base, Leeds, United Kingdom A data set of 310 chemicals published as part of the U.S. Environ- mental Protection Agency’s ToxCast program has been analysed to identify new structural alerts for carcinogenicity. The chemicals in this data set are mostly active ingredients in food-use pesticides and may represent different regions of chemical space to the phar- maceutical and industrial chemicals typically used in mammalian toxicology (Q)SAR development. The data set was compared with a collection of existing struc- tural alerts for carcinogenicity and analysed using clustering software and visual analysis. The common structural classes iden- tified during analysis were reviewed to determine those associated with tumour induction at the same site(s). Further research for these classes was conducted using the published literature to iden- tify additional supporting toxicity data and a mechanistic rationale where possible. It was found that existing structural alerts predicted activity for 41% of rodent carcinogens in the data set. Subsequent analysis yielded eight classes which may form the basis of new structural alerts for carcinogenicity. These include triazoles (e.g. cyprocona- zole) and pyrethroids (e.g. permethrin). In addition to new alerts, the analysis also identified the potential for improvements to some existing structural alerts. In conclusion, this work has shown the feasibility of deriving new structural alerts for carcinogenicity from a data set of pesti- cides. This indicates that the data set describes somewhat different regions of chemical space to those used to derive existing structural alerts. doi:10.1016/j.toxlet.2009.06.380 P12 The OpenTox predictive toxicology framework Barry Hardy Douglas Connect GmbH, HQ, Zeiningen, Switzerland The EC-funded FP7 project OpenTox is developing an open source- based integrating predictive toxicology framework that provides a unified access to toxicological data and (Q)SAR models. OpenTox provides tools for the integration of data, for the gen- eration and validation of (Q)SAR models for toxic effects, libraries for the development and integration of (Q)SAR algorithms, and scientifically sound validation routines. OpenTox supports the development of applications for non-computational specialists in addition to interfaces for risk assessors, toxicological experts and model and algorithm developers. OpenTox is relevant for the implementation of REACH as it allows risk assessors to access experimental data, (Q)SAR models and toxicological information from a unified interface that adheres to European and international regulatory requirements including OECD Guidelines for validation and reporting. The OpenTox frame- work is being populated initially with data and models for chronic, genotoxic and carcinogenic effects. These are the endpoints where computational methods promise the greatest potential reduction in animal testing required under REACH. Initial research defined the essential components of the framework architecture, approach to data access, schema and man- agement, use of controlled vocabularies and ontologies, web service and communications protocols, and selection and integration of algorithms for predictive modeling. Analyses of use cases were per- formed and included cases for REACH-relevant risk assessment, chemical categorization and prioritisation, drug development, and food safety evaluation, with the resulting requirements guiding framework design and initial application development. The initial results of these applications and next steps in development, testing and validation will be discussed. doi:10.1016/j.toxlet.2009.06.381 P13 An oral (gavage) developmental neurotoxicity study of decabro- modiphenyl oxide (DeBDPO) in rats Sylvia Jacobi 1,, Hanna Silberberg 2 , Todd Stedeford 3 , John Biesemeier 4 , John Adriano 4 , Melissa Beck 5 1 Albemarle Europe SPRL, Health and Environment, Louvain-La-Neuve, Belgium, 2 ICL-IP America, St. Louis, United States, 3 Albemarle Corporation, Baton Rouge, United States, 4 Chemtura Corporation, Middlebury, United States, 5 WIL Research Laboratories LLC, Ashland, United States Decabromodiphenyl oxide (DeBDPO; CASRN 1163-19-5) (also known as decabromodiphenyl ether (DecaBDE)) is a flame retar- dant used in electrical and electronic equipment and upholstery textiles. DeBDPO underwent extensive toxicity testing and risk assessments. The current GLP study provides the needed data for assessing developmental neurotoxicity effects. It was designed in consultation with the EU Competent Authorities and combined the requirements of both US EPA OPPTS 870.6300 and OECD 426 guide- lines. It also included a 6-month assessment period of F 1 offspring and an increased offspring neuropathology sample size. The scope was to investigate potential functional and morpho- logical insult to the nervous system in offspring of dams exposed to DeBDPO during pregnancy and lactation. Female Sprague–Dawley rats were administered DeBDPO in corn oil daily by oral gavage, from gestation day 6 through lactation day 21, at dosage levels of 0, 1, 10, 100 and 1000mg/kg body weight/day. The examination of F 0 animals included regular clinical obser- vations, detailed off cage assessments, body weight and food consumption during gestation and lactation. Observations in F 1 pups included clinical observations, body weights and gender identities, detailed clinical observations (PND 4, 11, 21, 35, 45, 60), acoustic startle response (PND 20, 60), locomo- tor activity (PND 13, 17, 21 61, 120, 180), learning and memory (PND 22, 62), brain weight and neuropathological evaluations (PND 21, 72). Under the conditions of this study, no evidence of developmen- tal neurotoxicity was observed and the no-observed-adverse-effect level (NOAEL) for both F 0 systemic toxicity and F 1 neonatal and developmental neurotoxicity of DeBDPO was considered to be 1000 mg/kg/day. doi:10.1016/j.toxlet.2009.06.382

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Page 1: The OpenTox predictive toxicology framework

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tlevel (NOAEL) for both F0 systemic toxicity and F1 neonatal anddevelopmental neurotoxicity of DeBDPO was considered to be1000 mg/kg/day.

doi:10.1016/j.toxlet.2009.06.382

260 Abstracts / Toxicology L

11ew structural alerts for carcinogenicity derived from a pesti-ide data set

usanne Stalford ∗, Carol Marchant, Richard Williams

Lhasa Limited, Knowledge Base, Leeds, United Kingdom

data set of 310 chemicals published as part of the U.S. Environ-ental Protection Agency’s ToxCast program has been analysed to

dentify new structural alerts for carcinogenicity. The chemicals inhis data set are mostly active ingredients in food-use pesticidesnd may represent different regions of chemical space to the phar-aceutical and industrial chemicals typically used in mammalian

oxicology (Q)SAR development.The data set was compared with a collection of existing struc-

ural alerts for carcinogenicity and analysed using clusteringoftware and visual analysis. The common structural classes iden-ified during analysis were reviewed to determine those associatedith tumour induction at the same site(s). Further research for

hese classes was conducted using the published literature to iden-ify additional supporting toxicity data and a mechanistic rationalehere possible.

It was found that existing structural alerts predicted activityor 41% of rodent carcinogens in the data set. Subsequent analysisielded eight classes which may form the basis of new structurallerts for carcinogenicity. These include triazoles (e.g. cyprocona-ole) and pyrethroids (e.g. permethrin). In addition to new alerts,he analysis also identified the potential for improvements to somexisting structural alerts.

In conclusion, this work has shown the feasibility of derivingew structural alerts for carcinogenicity from a data set of pesti-ides. This indicates that the data set describes somewhat differentegions of chemical space to those used to derive existing structurallerts.

oi:10.1016/j.toxlet.2009.06.380

12he OpenTox predictive toxicology framework

arry Hardy

Douglas Connect GmbH, HQ, Zeiningen, Switzerland

he EC-funded FP7 project OpenTox is developing an open source-ased integrating predictive toxicology framework that provides anified access to toxicological data and (Q)SAR models.

OpenTox provides tools for the integration of data, for the gen-ration and validation of (Q)SAR models for toxic effects, librariesor the development and integration of (Q)SAR algorithms, andcientifically sound validation routines. OpenTox supports theevelopment of applications for non-computational specialists inddition to interfaces for risk assessors, toxicological experts andodel and algorithm developers.OpenTox is relevant for the implementation of REACH as it

llows risk assessors to access experimental data, (Q)SAR modelsnd toxicological information from a unified interface that adhereso European and international regulatory requirements includingECD Guidelines for validation and reporting. The OpenTox frame-

ork is being populated initially with data and models for chronic,

enotoxic and carcinogenic effects. These are the endpoints whereomputational methods promise the greatest potential reductionn animal testing required under REACH.

189S (2009) S57–S273

Initial research defined the essential components of theramework architecture, approach to data access, schema and man-gement, use of controlled vocabularies and ontologies, web servicend communications protocols, and selection and integration oflgorithms for predictive modeling. Analyses of use cases were per-ormed and included cases for REACH-relevant risk assessment,hemical categorization and prioritisation, drug development, andood safety evaluation, with the resulting requirements guidingramework design and initial application development. The initialesults of these applications and next steps in development, testingnd validation will be discussed.

oi:10.1016/j.toxlet.2009.06.381

13n oral (gavage) developmental neurotoxicity study of decabro-odiphenyl oxide (DeBDPO) in rats

ylvia Jacobi 1,∗, Hanna Silberberg 2, Todd Stedeford 3, Johniesemeier 4, John Adriano 4, Melissa Beck 5

Albemarle Europe SPRL, Health and Environment,ouvain-La-Neuve, Belgium, 2 ICL-IP America, St. Louis, United States,Albemarle Corporation, Baton Rouge, United States, 4 Chemturaorporation, Middlebury, United States, 5 WIL Research LaboratoriesLC, Ashland, United States

ecabromodiphenyl oxide (DeBDPO; CASRN 1163-19-5) (alsonown as decabromodiphenyl ether (DecaBDE)) is a flame retar-ant used in electrical and electronic equipment and upholsteryextiles. DeBDPO underwent extensive toxicity testing and riskssessments. The current GLP study provides the needed data forssessing developmental neurotoxicity effects. It was designed inonsultation with the EU Competent Authorities and combined theequirements of both US EPA OPPTS 870.6300 and OECD 426 guide-ines. It also included a 6-month assessment period of F1 offspringnd an increased offspring neuropathology sample size.

The scope was to investigate potential functional and morpho-ogical insult to the nervous system in offspring of dams exposed toeBDPO during pregnancy and lactation. Female Sprague–Dawley

ats were administered DeBDPO in corn oil daily by oral gavage,rom gestation day 6 through lactation day 21, at dosage levels of 0,, 10, 100 and 1000 mg/kg body weight/day.

The examination of F0 animals included regular clinical obser-ations, detailed off cage assessments, body weight and foodonsumption during gestation and lactation.

Observations in F1 pups included clinical observations, bodyeights and gender identities, detailed clinical observations (PND, 11, 21, 35, 45, 60), acoustic startle response (PND 20, 60), locomo-or activity (PND 13, 17, 21 61, 120, 180), learning and memory (PND2, 62), brain weight and neuropathological evaluations (PND 21,2).

Under the conditions of this study, no evidence of developmen-al neurotoxicity was observed and the no-observed-adverse-effect