Literature DB >> 30638278

UVCB substances II: Development of an endpoint-nonspecific procedure for selection of computationally generated representative constituents.

Stela S Kutsarova1, Darina G Yordanova1, Yordan H Karakolev1, Stoyanka Stoeva1, Mike Comber2, Christopher B Hughes3, Eleni Vaiopoulou4, Sabcho D Dimitrov1, Ovanes G Mekenyan1.   

Abstract

Substances of unknown or variable composition, complex reaction products, and biological materials (UVCBs) comprise approximately 40% of all registered substances submitted to the European Chemicals Agency. One of the main characteristics of UVCBs is that they have no unique representation. Industry scientists who are part of the scientific community have been working with academics and consultants to address the problem of a lack of a defined structural description. It has been acknowledged that one of the obstacles is the large number of possible structural isomers. We have recently proposed and published a methodology, based on the generic substance identifiers, to address this issue. The methodology allows for the coding of constituents, their generation, calculation of important characteristics of UVCB constituents, and selection of representative constituents. In the present study we introduce a statistical selection of the minimum number of generated constituents representing a UVCB. This representative sample was selected in such a way that the structural variability and the properties of concern of the UVCB were approximated within a predefined tolerable error. The aim of the statistical selection was to enable the assessment of UVCB substances by decreasing the number of constituents that need to be evaluated. The procedure, which was shown to be endpoint-independent, was validated theoretically and on real case studies. Environ Toxicol Chem 2019;38:682-694.
© 2019 SETAC. © 2019 SETAC.

Keywords:  G SMILES; Hazard/risk assessment; Mixtures; Representative sample; Structure-activity relationships; UVCBs

Mesh:

Substances:

Year:  2019        PMID: 30638278     DOI: 10.1002/etc.4358

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  2 in total

Review 1.  Improving the Environmental Risk Assessment of Substances of Unknown or Variable Composition, Complex Reaction Products, or Biological Materials.

Authors:  Daniel Salvito; Marc Fernandez; Karen Jenner; Delina Y Lyon; Joop de Knecht; Philipp Mayer; Matthew MacLeod; Karen Eisenreich; Pim Leonards; Romanas Cesnaitis; Miriam León-Paumen; Michelle Embry; Sandrine E Déglin
Journal:  Environ Toxicol Chem       Date:  2020-09-16       Impact factor: 3.742

2.  Grouping of UVCB substances with new approach methodologies (NAMs) data.

Authors:  John S House; Fabian A Grimm; William D Klaren; Abigail Dalzell; Srikeerthana Kuchi; Shu-Dong Zhang; Klaus Lenz; Peter J Boogaard; Hans B Ketelslegers; Timothy W Gant; Fred A Wright; Ivan Rusyn
Journal:  ALTEX       Date:  2020-10-09       Impact factor: 6.043

  2 in total

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