Expert QSAR system for predicting the bioconcentration factor under the REACH regulation

Francesca Grisoni, Viviana Consonni, Marco Vighi, Sara Villa, Roberto Todeschini

Research output: Contribution to journalArticleAcademicpeer-review

15 Citations (Scopus)

Abstract

Expert systems are a rational integration of several models that generally aim to exploit their advantages and overcome their drawbacks. This work is founded on our previously published Quantitative Structure-Activity Relationship (QSAR) classification scheme, which detects compounds whose Bioconcentration Factor (BCF) is (1) well predicted by the octanol-water partition coefficient (KOW), (2) underestimated by KOW or (3) overestimated by KOW. The classification scheme served as the starting point to identify and combine the best BCF model for each class among three VEGA models and one KOW-based equation. The rationalized model integration showed stability and surprising performance on unknown data when compared with benchmark BCF models. Model simplicity, transparency and mechanistic interpretation were fostered in order to allow for its application and acceptance within the REACH framework.

Original languageEnglish
Pages (from-to)507-512
Number of pages6
JournalEnvironmental Research
Volume148
DOIs
Publication statusPublished - 1 Jul 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2016 Elsevier Inc.

Keywords

  • BCF
  • Bioaccumulation
  • Expert system
  • QSAR
  • TGD
  • VEGA

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