Literature DB >> 1995902

Structure-activity relationship of mutagenic aromatic and heteroaromatic nitro compounds. Correlation with molecular orbital energies and hydrophobicity.

A K Debnath1, R L Lopez de Compadre, G Debnath, A J Shusterman, C Hansch.   

Abstract

A review of the literature yielded data on over 200 aromatic and heteroaromatic nitro compounds tested for mutagenicity in the Ames test using S. typhimurium TA98. From the data, a quantitative structure-activity relationship (QSAR) has been derived for 188 congeners. The main determinants of mutagenicity are the hydrophobicity (modeled by octanol/water partition coefficients) and the energies of the lowest unoccupied molecular orbitals calculated using the AM1 method. It is also shown that chemicals possessing three or more fused rings possess much greater mutagenic potency than compounds with one or two fused rings. Since the QSAR is based on a very wide range in structural variation, aromatic rings from benzene to coronene are included as well as many different types of heterocycles, it is a significant step toward a predictive toxicology of value in the design of less mutagenic bioactive compounds.

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Year:  1991        PMID: 1995902     DOI: 10.1021/jm00106a046

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  20 in total

1.  CoMFA analysis of tgDHFR and rlDHFR based on antifolates with 6-5 fused ring system using the all-orientation search (AOS) routine and a modified cross-validated r(2)-guided region selection (q(2)-GRS) routine and its initial application.

Authors:  Aleem Gangjee; Xin Lin; Lisa R Biondo; Sherry F Queener
Journal:  Bioorg Med Chem       Date:  2010-01-06       Impact factor: 3.641

2.  The discovery of indicator variables for QSAR using inductive logic programming.

Authors:  R D King; A Srinivasan
Journal:  J Comput Aided Mol Des       Date:  1997-11       Impact factor: 3.686

3.  In silico prediction of percutaneous absorption and disposition kinetics of chemicals.

Authors:  Longjian Chen; Lujia Han; Ouarda Saib; Guoping Lian
Journal:  Pharm Res       Date:  2014-11-19       Impact factor: 4.200

4.  Graph Traversal Edit Distance and Extensions.

Authors:  Ali Ebrahimpour Boroojeny; Akash Shrestha; Ali Sharifi-Zarchi; Suzanne Renick Gallagher; S Cenk Sahinalp; Hamidreza Chitsaz
Journal:  J Comput Biol       Date:  2020-02-13       Impact factor: 1.479

5.  Structure-activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming.

Authors:  R D King; S H Muggleton; A Srinivasan; M J Sternberg
Journal:  Proc Natl Acad Sci U S A       Date:  1996-01-09       Impact factor: 11.205

6.  Membrane-interaction QSAR analysis: application to the estimation of eye irritation by organic compounds.

Authors:  A S Kulkarni; A J Hopfinger
Journal:  Pharm Res       Date:  1999-08       Impact factor: 4.200

Review 7.  Targeting Phenotypically Tolerant Mycobacterium tuberculosis.

Authors:  Ben Gold; Carl Nathan
Journal:  Microbiol Spectr       Date:  2017-01

8.  Novel aminoarylcysteine adducts in globin of rats dosed with naphthylamine and nitronaphthalene isomers.

Authors:  Igor Linhart; Iveta Hanzlíková; Jaroslav Mráz; Šárka Dušková; Monika Tvrdíková; Hana Vachová
Journal:  Arch Toxicol       Date:  2020-11-06       Impact factor: 5.153

9.  Electronic properties of some nitrobenzo[a]pyrene isomers: a possible relationship to mutagenic activity.

Authors:  Vito Librando; Andrea Alparone; Gaetano Tomaselli
Journal:  J Mol Model       Date:  2008-04-26       Impact factor: 1.810

10.  3,3',5,5'-Tetra-nitro-biphen-yl.

Authors:  N Hammond; P Carvalho; Y Wu; M A Avery
Journal:  Acta Crystallogr Sect E Struct Rep Online       Date:  2009-04-18
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