Literature DB >> 32380191

Application of the hard and soft, acids and bases (HSAB) theory as a method to predict cumulative neurotoxicity.

Fjodor Melnikov1, Brian C Geohagen2, Terrence Gavin3, Richard M LoPachin4, Paul T Anastas5, Phillip Coish6, David W Herr7.   

Abstract

Xenobiotic electrophiles can form covalent adducts that may impair protein function, damage DNA, and may lead a range of adverse effects. Cumulative neurotoxicity is one adverse effect that has been linked to covalent protein binding as a Molecular Initiating Event (MIE). This paper describes a mechanistic in silico chemical screening approach for neurotoxicity based on Hard and Soft Acids and Bases (HSAB) theory. We evaluated the applicability of HSAB-based electrophilicity screening protocol for neurotoxicity on 19 positive and 19 negative reference chemicals. These reference chemicals were identified from the literature, using available information on mechanisms of neurotoxicity whenever possible. In silico screening was based on structural alerts for protein binding motifs and electrophilicity index in the range of known neurotoxicants. The approach demonstrated both a high positive prediction rate (82-90 %) and specificity (90 %). The overall sensitivity was relatively lower (47 %). However, when predicting the toxicity of chemicals known or suspected of acting via non-specific adduct formation mechanism, the HSAB approach identified 7/8 (sensitivity 88 %) of positive control chemicals correctly. Consequently, the HSAB-based screening is a promising approach of identifying possible neurotoxins with adduct formation molecular initiating events. While the approach must be expanded over time to capture a wider range of MIEs involved in neurotoxicity, the mechanistic nature of the screen allows users to flag chemicals for possible adduct formation MIEs. Thus, the HSAB based toxicity screening is a promising strategy for toxicity assessment and chemical prioritization in neurotoxicology and other health endpoints that involve adduct formation. Published by Elsevier B.V.

Entities:  

Keywords:  Hard and soft acid Base; In silico; Neurotoxicity

Mesh:

Substances:

Year:  2020        PMID: 32380191      PMCID: PMC7369154          DOI: 10.1016/j.neuro.2020.04.009

Source DB:  PubMed          Journal:  Neurotoxicology        ISSN: 0161-813X            Impact factor:   4.294


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