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On the use of electronic descriptors for QSAR modelling of PCDDs, PCDFs and dioxin-like PCBs£ :

Larsson, Malin (author)
Umeå universitet,Kemiska institutionen
Kumar Mishra, Brijesh (author)
Umeå universitet,Kemiska institutionen
Tysklind, Mats (author)
Umeå universitet,Kemiska institutionen
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Linusson, Anna (author)
Umeå universitet,Kemiska institutionen
Andersson, Patrik L. (author)
Umeå universitet,Kemiska institutionen
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 (creator_code:org_t)
Taylor & Francis Group, 2013
2013
English.
In: SAR and QSAR in environmental research (Print). - : Taylor & Francis Group. - 1062-936X .- 1029-046X. ; 24:6, s. 461-479
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • The electronic properties of 29 polychlorinated dibenzo-p-dioxins and dibenzofurans and dioxin-like polychlorinated biphenyls that have been included in the toxic equivalency factor system have been investigated and used to derive quantum mechanical (QM) chemical descriptors for QSAR modelling. Their utility in this context was investigated alongside descriptors based on ultraviolet absorption data and traditional 2D descriptors including log Kow, polarizability, molecular surface properties, van der Waals volume and selected connectivity indices. The QM descriptors were calculated using the semi-empirical AM1 method and the density functional theory method B3-LYP/6-31G(∗∗). Atom-specific and molecular quantum chemical descriptors were calculated to compare the electronic properties of dioxin-like compounds regardless of their chemical class, with particular emphasis on the lateral positions. Multivariate analysis revealed differences between the chemical classes in terms of their electronic properties and also highlighted differences between congeners. The results obtained demonstrated the importance of considering molecular orbital energies, but also indicated that the ratios of the coefficients of the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO) at the lateral carbons were important. In addition, the digitalized UV spectra contained chemical information that provided crucial insights into dioxin-like activity.

Subject headings

NATURVETENSKAP  -- Kemi (hsv//swe)
NATURAL SCIENCES  -- Chemical Sciences (hsv//eng)

Keyword

Dioxins
ultraviolet
electronic descriptors
density functional theory
semi-empirical
QSAR
toxic equivalency factor

Publication and Content Type

ref (subject category)
art (subject category)

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Kumar Mishra, Br ...
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Linusson, Anna
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Umeå University

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