University of Hertfordshire

From the same journal


  • CCDT_revised

    Accepted author manuscript, 314 KB, PDF document

  • Marco Tutone
  • Beatrice Pecoraro
  • Anna Maria Almerico
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Original languageEnglish
JournalCurrent drug discovery technologies
Early online date23 Jul 2018
Publication statusE-pub ahead of print - 23 Jul 2018


A series of 1,3,4-oxadiazole derivatives with significant broad-spectrum anticancer activity against different cell lines, and demonstrated telomerase inhibition, was subjected to Quantitative Structure-Activity Relationships (QSAR) analysis. Validated models with high correlation coefficients were developed. The Multiple Linear Regression (MLR) models, by Ordinary Least Squares (OLS), showed good robustness and predictive capability, according to the Multi-Criteria Decision Making (MCDM = 0.8352), a technique that simultaneously enhances the performances of a certain number of criteria. The descriptors selected for the models, such as electrotopological state (E-state) descriptors, and extended topochemical atom (ETA) descriptors, showed the relevant chemical information contributing to the activity of these compounds. The results obtained in this study make sure about the identification of potential hits as prospective telomerase inhibitors.


The published manuscript is available at EurekaSelect via, DOI : 10.2174/1570163815666180724113208. © 2018 Bentham Science

ID: 15693047