Literature DB >> 27603201

Using Molecular Initiating Events To Generate 2D Structure-Activity Relationships for Toxicity Screening.

Timothy E H Allen1, Sonia Liggi1, Jonathan M Goodman1, Steve Gutsell2, Paul J Russell2.   

Abstract

Molecular initiating events (MIEs) can be boiled down to chemical interactions. Chemicals that interact must have intrinsic properties that allow them to exhibit this behavior, be these properties stereochemical, electronic, or otherwise. In an attempt to discover some of these chemical characteristics, we have constructed structural alert-style structure-activity relationships (SARs) to computationally predict MIEs. This work utilizes chemical informatics approaches, searching the ChEMBL database for molecules that bind to a number of pharmacologically important human toxicology targets, including G-protein coupled receptors, enzymes, ion channels, nuclear receptors, and transporters. By screening these compounds to find common 2D fragments and combining this approach with a good understanding of the literature, bespoke 2D structural alerts have been written. These SARs form the beginning of a tool for screening novel chemicals to establish the kind of interactions that they may be able to make in humans. These SARs have been run through an internal validation to test their quality, and the results of this are also discussed. MIEs have proven to be difficult to find and characterize, but we believe we have taken a key first step with this work.

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Year:  2016        PMID: 27603201     DOI: 10.1021/acs.chemrestox.6b00101

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  2 in total

1.  Evidenced-Based Approaches to Support the Development of Endocrine-Mediated Adverse Outcome Pathways: Challenges and Opportunities.

Authors:  Karine Audouze; Elias Zgheib; Khaled Abass; Asma H Baig; Isabel Forner-Piquer; Henrik Holbech; Dries Knapen; Pim E G Leonards; Diana I Lupu; Saranya Palaniswamy; Arja Rautio; Maria Sapounidou; Olwenn V Martin
Journal:  Front Toxicol       Date:  2021-12-21

2.  Novel QSAR Models for Molecular Initiating Event Modeling in Two Intersecting Adverse Outcome Pathways Based Pulmonary Fibrosis Prediction for Biocidal Mixtures.

Authors:  Myungwon Seo; Chong Hak Chae; Yuno Lee; Ha Ryong Kim; Jongwoon Kim
Journal:  Toxics       Date:  2021-03-16
  2 in total

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