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Published byDerick Green Modified over 7 years ago
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General Concepts in QSAR for Using the QSAR Application Toolbox
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Part IIi Forming Chemical Categories
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What do we mean by a chemical category?
A chemical category is a group of chemicals with attributes in common: Structure e.g., common substructure or electronic properties Property e.g., similar physicochemical, topological, geometrical, or surface properties Behavior e.g., toxicological response underpinned by common toxicity mechanisms Function e.g., preservatives, solvents, detergents, fragrances, lubricants , heat transfer, etc.
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Annex IX of REACH Substances whose physicochemical, toxicological and ecotoxicological properties are likely to be similar or follow a regular pattern as a result of structural similarity may be considered as a group, or “category” of substances. Application of the group concept requires that physicochemical properties, human health effects and environmental effects or environmental fate may be predicted from data for a reference substance within the group by interpolation to other substances in the group (read-across approach). This avoids the need to test every substance for every endpoint.
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OECD Definition of Category
A chemical category is a group of chemicals whose physicochemical and toxicological properties are likely to be similar or follow a regular pattern as a result of structural similarity These structural similarities may create a predictable pattern in any or all of the following parameters: physicochemical properties, environmental fate and environmental effects, and human health effects Source: OECD Manual for Investigation of High Production Volume (HPV) Chemicals. OECD Paris.
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Forming Chemical Categories
Chemical categories are being grouped based on attributes important to toxicological behavior Literature and other data sources are used to organize available data for common assessment endpoints Read-across and trend analysis are used to extrapolate the data from tested chemicals to untested chemicals In many cases, the analysis of trends (our examples in this lecture) is used to designate the boundaries for similarity in each of the categories
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General Concepts in QSAR for Using the QSAR Application Toolbox
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Part IV QSAR and the OECD Toolbox
Integrating Methods for Convenience, Consistency and Documentation
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Why Do We Need the QSAR Toolbox?
Defining category boundaries requires the calculation of complex attributes of chemicals to determine which attributes best explain available data In many cases, metabolic simulators are needed to provide metabolic maps and active metabolites To do trend analysis, hundreds of available data must be compiled and flexibly analyzed for trends
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QSAR Application Toolbox
Filling data gaps using available test data and principles of predictive toxicology Developed for OECD and ECHA by the Laboratory of Mathematical Chemistry, Bourgas, Bulgaria Professor Ovanes Mekenyan, Head
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QSAR Application Toolbox
General Objectives: Improve accessibility of (Q)SAR methods and databases Facilitate selection of chemical analogues and categories Integrate metabolism/mechanisms with categories and QSAR Assist in the estimation of missing values for chemicals -ENV/JM(2006)47
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Typical queries with the QSAR Application Toolbox
Is the chemical included in regulatory inventories or existing chemical categories? Has the chemical already been assessed by other agencies/organizations? Would you like to search for available data on assessment endpoints for each chemical?
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Typical queries with the QSAR Application Toolbox
Explore a chemical list for possible analogues using predefined, mechanistic, empiric and custom-built categorization schemes? Group chemicals based on common chemical/toxic mechanism and/or metabolism? Design a data matrix of a chemical category?
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QSAR Toolbox Workflow The first version of the QSAR Toolbox is designed to facilitate the work of hazard assessors in filling data gaps for untested chemicals through the use of chemical categories
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Logical sequence of Using Toolbox components
Chemical Input Chemical Profiling Hazard Endpoints Category Definition Filling Data Gaps Report 16
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Logical sequence of Using Toolbox components
Chemical Input Chemical Profiling Hazard Endpoints Category Definition Filling Data Gaps Report User Alternatives for Chemical ID: A. Single target chemical Name CAS# SMILES/InChi Draw Chemical Structure Select from User List/Inventory B. Group of chemicals User List Inventory Specialized Databases 17
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Logical sequence of Using Toolbox components
Chemical Input Chemical Profiling Hazard Endpoints Category Definition Filling Data Gaps Report General characterization schemes: Substance information Predefined Mechanistic Empirical Custom Metabolism 18
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Logical sequence of Using Toolbox components
Chemical Input Chemical Profiling Hazard Endpoints Category Definition Filling Data Gaps Report Compiling Endpoint Data (SIDS plus) Aquatic Toxicity (complete AQUIRE) Ecotoxicology (complete ECOTOX) Bioaccumulation Mutagenicity Skin Sensitization Carcinogenicity Rodent Repeat Dose Documented QSAR Estimates 19
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Forming and Pruning Categories:
Chemical Input Chemical Profiling Hazard Endpoints Category Definition Filling Data Gaps Report Forming and Pruning Categories: Predefined Mechanistic Empirical Custom Metabolism 20
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Logical sequence of Using Toolbox components
Chemical Input Chemical Profiling Hazard Endpoints Category Definition Filling Data Gaps Report Forming and Pruning Categories: Predefined OECD categorization US EPA categorization Inventory affiliation Database affiliation Substance type 21
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Logical sequence of Using Toolbox components
Chemical Input Chemical Profiling Hazard Endpoints Category Definition Filling Data Gaps Report Accepted Approaches Read-across Trend analysis QSAR models 22
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Logical sequence of Using Toolbox components
Chemical Input Chemical Profiling Hazard Endpoints Category Definition Filling Data Gaps Report Report the results: Estimate Reporting Formats (QMRF) IUCLID 5 Harmonized Templates SIDS Data Dossiers Complete Session History User-Defined Reports 23
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Summary Explore a chemical list for possible analogues using predefined, mechanistic, empiric and custom-built categorization schemes? Group chemicals based on common chemical/toxic mechanism and/or metabolism? Design a data matrix of a chemical category?
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