Literature DB >> 1732103

A QSAR investigation of the role of hydrophobicity in regulating mutagenicity in the Ames test: 1. Mutagenicity of aromatic and heteroaromatic amines in Salmonella typhimurium TA98 and TA100.

A K Debnath1, G Debnath, A J Shusterman, C Hansch.   

Abstract

Quantitative structure-activity relationships (QSAR) have been derived for the mutagenic activity of 88 aromatic and heteroaromatic amines acting on Salmonella typhimurium TA98 + S9 and 67 amines acting on TA100 + S9. Mutagenic activity is linearly dependent on hydrophobicity, the energy of the highest occupied molecular orbital, and the energy of the lowest unoccupied molecular orbital of the amine. The dependence of mutagenic activity on hydrophobicity and electronic effects is nearly identical for TA98 and TA100. Mutagenic activity in TA98 is also found to depend on the size of the aromatic ring system. Different QSARs are derived for the mutagenic activity of hydrophilic amines (log P less than 1) acting on either TA98 or TA100. The mechanism of amine activation and reaction with DNA is considered in light of these findings.

Entities:  

Mesh:

Substances:

Year:  1992        PMID: 1732103     DOI: 10.1002/em.2850190107

Source DB:  PubMed          Journal:  Environ Mol Mutagen        ISSN: 0893-6692            Impact factor:   3.216


  5 in total

1.  ANVAS: artificial neural variables adaptation system for descriptor selection.

Authors:  Paolo Mazzatorta; Marjan Vracko; Emilio Benfenati
Journal:  J Comput Aided Mol Des       Date:  2003 May-Jun       Impact factor: 3.686

2.  An investigation into pharmaceutically relevant mutagenicity data and the influence on Ames predictive potential.

Authors:  Patrick McCarren; Clayton Springer; Lewis Whitehead
Journal:  J Cheminform       Date:  2011-11-22       Impact factor: 5.514

Review 3.  Approaches to developing alternative and predictive toxicology based on PBPK/PD and QSAR modeling.

Authors:  R S Yang; R S Thomas; D L Gustafson; J Campain; S A Benjamin; H J Verhaar; M M Mumtaz
Journal:  Environ Health Perspect       Date:  1998-12       Impact factor: 9.031

4.  Quantitative Structure-Activity Relationship Model for HCVNS5B inhibitors based on an Antlion Optimizer-Adaptive Neuro-Fuzzy Inference System.

Authors:  Mohamed Abd Elaziz; Yasmine S Moemen; Aboul Ella Hassanien; Shengwu Xiong
Journal:  Sci Rep       Date:  2018-01-24       Impact factor: 4.379

5.  Hemoglobin binding of arylamines and nitroarenes: molecular dosimetry and quantitative structure-activity relationships.

Authors:  G Sabbioni
Journal:  Environ Health Perspect       Date:  1994-10       Impact factor: 9.031

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.