PLS Analysis for Antibacterial Activity of Natural Coumarins Using VolSurf Descriptors

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PLS Analysis for Antibacterial Activity of Natural Coumarins Using VolSurf Descriptors

Μαυρομούστακος, Θωμάς
Koukoulitsa, Catherine
Chinou, Ioanna
Tsantili-Kakoulidou, Anna

Άρθρο σε επιστημονικό περιοδικό

2009-08


Weinheim
In the present study the antibacterial activity of a dataset including 24 natural coumarin derivatives was investigated by means of multivariate data analysis. Antibacterial data were available against six pathogenic microorganisms. VolSurf descriptors, used to characterize structural properties, proved efficient to discriminate the compounds according to different levels of activity as shown in the PICA and PLS-DA score plots. An informative PLS model considering the six response variables in parallel with satisfactory statistics was obtained, based on 39 original descriptors (R(2) =0.86 and Q(2)=0.79). Descriptors related to the hydrophilic regions and to hydrogen bonding capability proved to exert the most significant influence on projection (VIP> 1.5) most of them contributing in a positive way to the antibacterial activity. Contrary, lipophilicity expressed as logP was found to have a negative influence. Elongation of the molecules as described by EEFR is an additional unfavorable structural feature.

Ηλεκτρονικοί υπολογιστές. Επιστήμη των υπολογιστών (EL)
Χημεία (Γενικά) (EL)
Φαρμακευτική (EL)
Electronic computers. Computer science (EN)
Pharmacy and materia medica (EN)
Chemistry (General) (EN)

VolSurf descriptors
Computer Science, Interdisciplinary Applications
Natural coumarins
Natural products
Antibacterial activity
Semiempirical calculations
Chemistry, Medicinal
Chemistry, Multidisciplinary
Multivariate data analysis

English

Wiley-v C H Verlag Gmbh


17th European Symposium on Quantitative Structure-Activity Relationships (EuroQSAR), Uppsala, SWEDEN, Qsar & Combinatorial Science, 2008-09-21 - 2008-09-26

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© WILEY-V C H VERLAG GMBH (EN)




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