Literature DB >> 28412404

Development of human biotransformation QSARs and application for PBT assessment refinement.

Ester Papa1, Alessandro Sangion2, Jon A Arnot3, Paola Gramatica2.   

Abstract

Toxicokinetics heavily influence chemical toxicity as the result of Absorption, Distribution, Metabolism (Biotransformation) and Elimination (ADME) processes. Biotransformation (metabolism) reactions can lead to detoxification or, in some cases, bioactivation of parent compounds to more toxic chemicals. Moreover, biotransformation has been recognized as a key process determining chemical half-life in an organism and is thus a key determinant for bioaccumulation assessment for many chemicals. This study addresses the development of QSAR models for the prediction of in vivo whole body human biotransformation (metabolism) half-lives measured or empirically-derived for over 1000 chemicals, mainly represented by pharmaceuticals. Models presented in this study meet regulatory standards for fitting, validation and applicability domain. These QSARs were used, in combination with literature models for the prediction of biotransformation half-lives in fish, to refine the screening of the potential PBT behaviour of over 1300 Pharmaceuticals and Personal Care Products (PPCPs). The refinement of the PBT screening allowed, among others, for the identification of PPCPs, which were predicted as PBTs on the basis of their chemical structure, but may be easily biotransformed. These compounds are of lower concern in comparison to potential PBTs characterized by large predicted biotransformation half-lives.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biotransformation half-life; Hazard assessment; In vivo biotransformation; QSAR; Refined PBT assessment

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Year:  2017        PMID: 28412404     DOI: 10.1016/j.fct.2017.04.016

Source DB:  PubMed          Journal:  Food Chem Toxicol        ISSN: 0278-6915            Impact factor:   6.023


  5 in total

1.  A Model for Risk-Based Screening and Prioritization of Human Exposure to Chemicals from Near-Field Sources.

Authors:  Li Li; John N Westgate; Lauren Hughes; Xianming Zhang; Babak Givehchi; Liisa Toose; James M Armitage; Frank Wania; Peter Egeghy; Jon A Arnot
Journal:  Environ Sci Technol       Date:  2018-11-27       Impact factor: 9.028

2.  Intercorrelation Limits in Molecular Descriptor Preselection for QSAR/QSPR.

Authors:  Anita Rácz; Dávid Bajusz; Károly Héberger
Journal:  Mol Inform       Date:  2019-04-04       Impact factor: 3.353

3.  Development and Evaluation of a Holistic and Mechanistic Modeling Framework for Chemical Emissions, Fate, Exposure, and Risk.

Authors:  Li Li; Alessandro Sangion; Frank Wania; James M Armitage; Liisa Toose; Lauren Hughes; Jon A Arnot
Journal:  Environ Health Perspect       Date:  2021-12-09       Impact factor: 9.031

4.  Identifying organic chemicals not subject to bioaccumulation in air-breathing organisms using predicted partitioning and biotransformation properties.

Authors:  Frank Wania; Ying Duan Lei; Sivani Baskaran; Alessandro Sangion
Journal:  Integr Environ Assess Manag       Date:  2021-12-16       Impact factor: 3.084

5.  QSARINS-Chem standalone version: A new platform-independent software to profile chemicals for physico-chemical properties, fate, and toxicity.

Authors:  Nicola Chirico; Alessandro Sangion; Paola Gramatica; Linda Bertato; Ilaria Casartelli; Ester Papa
Journal:  J Comput Chem       Date:  2021-05-11       Impact factor: 3.376

  5 in total

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