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                                    CAse studies on the Development
                                       and Application of in-Silico
                                     Techniques for Environmental
                                      hazard and Risk assessment



                                                   Willie Peijnenburg

                                          RIVM – Laboratory for Ecological Risk
                                                     Assessment

                                               willie.peijnenburg@rivm.nl
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                                                        CADASTER




                                                                  Classification of PFOS-
                                                                  compounds in 22
                                                                  categories according to
                       PBDE: "The PCB's of the future"            OECD




                                      Pharmaceuticals and
                                      Personal Care Products in   Microbicidal benzotriazoles
                                      the Environment: Agents
                                      of Subtle Change?
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                                                      REACH

                                             Registration, Evaluation,
                                            Authorisation and Restriction
                                                   of Chemicals
                                          REACH requires demonstration of safe
                                            manufacture and use of chemicals
                                          REACH based on precautionary
                                            principle, aims at achieving proper
                                            balance between social, economic
                                            and environmental objectives
                                          REACH aims to optimise the use of
                                            scarce and scattered info on
                                            substances
                                          REACH aims to minimise animal
                                            testing by optimal use of info on
                                            “related” compounds
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                                                        REACH

                                          Minimised animal use:
                                          1 – Use of validated in silico
                                             techniques: (Q)SAR/(Q)SPR
                                          2 – New in vitro test methods, in vivo
                                             info analogues
                                          3 – Minimization actual numbers of
                                             animals used, and replacement of
                                             animal tests by alternative methods
                                          4 – Substance Information Exchange
                                             Forums (SIEFs) for obligatory
                                             provision of data and cost sharing
                                          5 - Requirement of official sanctioning
                                             of proposals for tests for compounds
                                             with production volumes of above
                                             100 tonnes to minimize animal
                                             testing
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                                                    Intelligent Testing Strategies (ITS)

                                                                 Read Across


                                               (Q)SARs                               In-vitro


                                                                  Endpoint
                                                                information

                                             Exposure
                                             Scenarios                                Existing
                                            (Annex VII/VIII)
                                                                       ?            information



                                                                TESTING



                                          Constituents of an Intelligent (or Integrated)
                                             Testing Strategy (ITS).
                                          Taken from a presentation of K. van Leeuwen and
                                             S. Bradbury: “REGULATORY RISK
                                             ASSESSMENT: Trends and paradigm shifts
                                             are needed” - European Commission &
                                             USEPA.
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                                                     CADASTER

                                          Goals:
                                          Exemplify the integration of
                                          information, models, strategies for
                                          safety- hazard-
                                          safety-, hazard-, risk assessment for
                                          large numbers of substances
                                          Carry out “real” risk assessment for
                                          large numbers of substances
                                          according to the basic philosophy of
                                          REACH: < costs, animal testing,
                                          time
                                          Exemplify how to increase non-
                                                                       non-
                                          testing information whilst
                                          quantifying and reducing uncertainty
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                                                           CADASTER

                                          Aim:
                                          Aim:
                                          Provide full environmental hazard
                                          and risk assessment according to the
                                          REACH philosophy for chemicals
                                          belonging to 4 classes of emerging
                                          chemicals:
                                           1 – Polybrominated diphenylethers (PBDE), typically class
                                          of hydrophobic chemicals that pose a threat to man and the
                                          environment.
                                           2 - Perfluoroalkylated substances and their transformation
                                          products, like perfluoroalkylated sulfonamides, alkanoic
                                          acids, sulfonates. Persistent hydrophilic compounds that
                                          may be toxic for man and environment.
                                           3 – Substituted musks/fragrances; a heterogenic group of
                                          chemicals of varying composition like substituted
                                          benzophenones, polycyclic musks, terpene derivatives.
                                          Common emission pattern in the environment.
                                           4 - Triazoles/benzotriazoles: increasingly used as
                                          pesticides and anti-corrosives.
                                                         anti-
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                                                        CADASTER

                                          Outcome:
                                          Outcome:
                                          DSS – regularly updated for new
                                          compound classes:
                                          -New testing strategies

                                          -New testing data

                                          -New models

                                          -Actual integrated evaluations,

                                          including uncertainty and variability

                                          -   On-
                                              On-line and stand-alone tool
                                                          stand-
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                                                                                   PARTNERS

                                          W       Pe W. Peijnenburg
                                                        ij n e nb            urg
                                                      (Coordinator)




                                                      M. Huijbregts




                                                         M. Durjavaa
                                                                 j




                                                             P. Gramatica




                                                         A. Woldegiorgis


                                                  E          F u rus        jö




                                                         T. Öberg


                                                   T Ö          b erg




                                                         I. Tetko


                                                      I Te         t k o




                                                         N. Jeliazkova



                                              N   Je         li azk     o v a




                                                         M. Comber
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                       Beneficiary               Beneficiary name        Beneficiary   Coun
                       Number *                                          short name     try
                        1                        Rijksinstituut voor       RIVM         Nl
                  (coordinator)                 Volksgezondheid en
                                                  Milieu (RIVM)
                                          2    Public Health Institute      PHI         Si
                                                      Maribor
                                          3    University of Insubria        UI        Italy
                                                     (Varese)
                                          4        IVL Swedish              IVL         S
                                              Environmental Research
                                                     Institute
                                          5    University of Kalmar         HIK         S

                                          6     Helmholtz Zentrum         HMGU         Ge
                                                München - German
                                                Research Center for
                                               Environmental Health
                                                     (GmbH)
                                          7       Ideaconsult Ltd.         IDEA        Bu

                                          8     Radboud University         RUN          Nl
                                                    Nijmegen

                                          9   Mike Comber Consulting       MCC         Be
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           Objectives - Work packages

                                          1: Collection of data and models
                                          - Experimental data intrinsic hazards
                                           – Screening Initial Data Set Dossier
                                           (SIDS)
                                          - Models – Screening Initial Data Set
                                           Dossier (SIDS)

                                          - Generation new data essential for
                                           validation and proper hazard/risk
                                           assessment
                                          - Database data/models:
                                           dissemination purposes
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           Objectives - Work packages

                                          2: Development/validation QSAR
                                           models
                                          - Evaluate performance
                                          - Similarity analysis and multivariate
                                           ranking methods for identification
                                           of priority chemicals to orient the
                                           experimental testing
                                          - Develop new QSARs where gaps
                                           are identified due to lack of existing
                                           models or due to models of
                                           insufficient quality.
                                          - Documentation of the performance
                                           of the (final) models selected and
                                           developed.
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           Objectives - Work packages
                                    3: Integration of QSARs within hazard
                                      and risk assessment
                                    - Integration in probabilistic risk
                                      assessment framework: characterize
                                      variability/ uncertainty, sensitivity
                                      analyses with regard to contributions
                                      in overall risk assessment framework,
                                      modelling of variability with regard to
                                      application in SSDs
                                    - Evaluate ECETOC TRA screening
                                      risk assessment tool
                                    - Evaluate methods and decision points
                                      for establishing scientific validity and
                                      applicability domains for QSAR
                                      models
                                    - Explore possibilities for economic
                                      valuation of substitution of chemicals
                                      from within chemical classes
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           Objectives - Work packages

                                          3 (cont.): Integration of QSARs
                                           within hazard and risk assessment
                                          - Policy and management: provision
                                           of recommendations on a viable
                                           management strategy for optimized
                                           testing and in-silico modelling of
                                                        in-
                                           hazardous organic substances.
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           Objectives - Work packages
                                          4: Outreach: website, newsletters/
                                            workshops, stand-alone tools for
                                                        stand-
                                            dissemination of project results
                                          - Development of on-line, stand-alone
                                                              on-     stand-
                                            DSS: develop, publish, use
                                            QSAR/QSPR models for REACH
                                          - Integration of the developed models
                                            with the QSAR Application Toolbox
                                            developed by OECD: establish the
                                            com-
                                            com-patibility of the models with the
                                            (Q)SAR Model Reporting Format
                                            (QMRF) format
                                          - Provision of a sustainable
                                            dissemination of project results by the
                                            WWW and as stand-alone tools
                                                           stand-
                                          - Communication including newsletters
                                            and workshop(s).
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                                          Management

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CADASTER

  • 1. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c CAse studies on the Development and Application of in-Silico Techniques for Environmental hazard and Risk assessment Willie Peijnenburg RIVM – Laboratory for Ecological Risk Assessment willie.peijnenburg@rivm.nl
  • 2. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c CADASTER Classification of PFOS- compounds in 22 categories according to PBDE: "The PCB's of the future" OECD Pharmaceuticals and Personal Care Products in Microbicidal benzotriazoles the Environment: Agents of Subtle Change?
  • 3. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c REACH Registration, Evaluation, Authorisation and Restriction of Chemicals REACH requires demonstration of safe manufacture and use of chemicals REACH based on precautionary principle, aims at achieving proper balance between social, economic and environmental objectives REACH aims to optimise the use of scarce and scattered info on substances REACH aims to minimise animal testing by optimal use of info on “related” compounds
  • 4. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c REACH Minimised animal use: 1 – Use of validated in silico techniques: (Q)SAR/(Q)SPR 2 – New in vitro test methods, in vivo info analogues 3 – Minimization actual numbers of animals used, and replacement of animal tests by alternative methods 4 – Substance Information Exchange Forums (SIEFs) for obligatory provision of data and cost sharing 5 - Requirement of official sanctioning of proposals for tests for compounds with production volumes of above 100 tonnes to minimize animal testing
  • 5. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c Intelligent Testing Strategies (ITS) Read Across (Q)SARs In-vitro Endpoint information Exposure Scenarios Existing (Annex VII/VIII) ? information TESTING Constituents of an Intelligent (or Integrated) Testing Strategy (ITS). Taken from a presentation of K. van Leeuwen and S. Bradbury: “REGULATORY RISK ASSESSMENT: Trends and paradigm shifts are needed” - European Commission & USEPA.
  • 6. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c CADASTER Goals: Exemplify the integration of information, models, strategies for safety- hazard- safety-, hazard-, risk assessment for large numbers of substances Carry out “real” risk assessment for large numbers of substances according to the basic philosophy of REACH: < costs, animal testing, time Exemplify how to increase non- non- testing information whilst quantifying and reducing uncertainty
  • 7. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c CADASTER Aim: Aim: Provide full environmental hazard and risk assessment according to the REACH philosophy for chemicals belonging to 4 classes of emerging chemicals: 1 – Polybrominated diphenylethers (PBDE), typically class of hydrophobic chemicals that pose a threat to man and the environment. 2 - Perfluoroalkylated substances and their transformation products, like perfluoroalkylated sulfonamides, alkanoic acids, sulfonates. Persistent hydrophilic compounds that may be toxic for man and environment. 3 – Substituted musks/fragrances; a heterogenic group of chemicals of varying composition like substituted benzophenones, polycyclic musks, terpene derivatives. Common emission pattern in the environment. 4 - Triazoles/benzotriazoles: increasingly used as pesticides and anti-corrosives. anti-
  • 8. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c CADASTER Outcome: Outcome: DSS – regularly updated for new compound classes: -New testing strategies -New testing data -New models -Actual integrated evaluations, including uncertainty and variability - On- On-line and stand-alone tool stand-
  • 9. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c PARTNERS W Pe W. Peijnenburg ij n e nb urg (Coordinator) M. Huijbregts M. Durjavaa j P. Gramatica A. Woldegiorgis E F u rus jö T. Öberg T Ö b erg I. Tetko I Te t k o N. Jeliazkova N Je li azk o v a M. Comber
  • 10. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c Beneficiary Beneficiary name Beneficiary Coun Number * short name try 1 Rijksinstituut voor RIVM Nl (coordinator) Volksgezondheid en Milieu (RIVM) 2 Public Health Institute PHI Si Maribor 3 University of Insubria UI Italy (Varese) 4 IVL Swedish IVL S Environmental Research Institute 5 University of Kalmar HIK S 6 Helmholtz Zentrum HMGU Ge München - German Research Center for Environmental Health (GmbH) 7 Ideaconsult Ltd. IDEA Bu 8 Radboud University RUN Nl Nijmegen 9 Mike Comber Consulting MCC Be
  • 11. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c Objectives - Work packages 1: Collection of data and models - Experimental data intrinsic hazards – Screening Initial Data Set Dossier (SIDS) - Models – Screening Initial Data Set Dossier (SIDS) - Generation new data essential for validation and proper hazard/risk assessment - Database data/models: dissemination purposes
  • 12. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c Objectives - Work packages 2: Development/validation QSAR models - Evaluate performance - Similarity analysis and multivariate ranking methods for identification of priority chemicals to orient the experimental testing - Develop new QSARs where gaps are identified due to lack of existing models or due to models of insufficient quality. - Documentation of the performance of the (final) models selected and developed.
  • 13. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c Objectives - Work packages 3: Integration of QSARs within hazard and risk assessment - Integration in probabilistic risk assessment framework: characterize variability/ uncertainty, sensitivity analyses with regard to contributions in overall risk assessment framework, modelling of variability with regard to application in SSDs - Evaluate ECETOC TRA screening risk assessment tool - Evaluate methods and decision points for establishing scientific validity and applicability domains for QSAR models - Explore possibilities for economic valuation of substitution of chemicals from within chemical classes
  • 14. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c Objectives - Work packages 3 (cont.): Integration of QSARs within hazard and risk assessment - Policy and management: provision of recommendations on a viable management strategy for optimized testing and in-silico modelling of in- hazardous organic substances.
  • 15. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c Objectives - Work packages 4: Outreach: website, newsletters/ workshops, stand-alone tools for stand- dissemination of project results - Development of on-line, stand-alone on- stand- DSS: develop, publish, use QSAR/QSPR models for REACH - Integration of the developed models with the QSAR Application Toolbox developed by OECD: establish the com- com-patibility of the models with the (Q)SAR Model Reporting Format (QMRF) format - Provision of a sustainable dissemination of project results by the WWW and as stand-alone tools stand- - Communication including newsletters and workshop(s).
  • 16. F T ra n sf o F T ra n sf o PD rm PD rm Y Y Y Y er er ABB ABB y y bu bu 2.0 2.0 to to re re he he k k lic lic C C w om w om w w w. w. A B B Y Y.c A B B Y Y.c Management