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Research Article

Modelling of antiproliferative activity measured in HeLa cervical cancer cells in a series of xanthene derivatives

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Pages 905-921 | Received 13 Aug 2020, Accepted 15 Oct 2020, Published online: 25 Nov 2020
 

ABSTRACT

Cancer remains one of the leading causes of death in humans, and new drug substances are therefore being developed. Thus, the anti-cancer activity of xanthene derivatives has become an important topic in the development of new and potent anti-cancer drug substances. Previously published novel series of xanthen-3-one and xanthen-1,8-dione derivatives have been synthesized in one of our laboratories and showed anti-proliferative activity in HeLa cancer cell lines. This series serves as a good basis to develop quantitative structure–activity relationship (QSAR), to study the relations between anti-proliferative activity and chemical structures. A QSAR model has been derived that relies only on two-dimensional molecular descriptors, providing mechanistic insight into the anti-proliferative activity of xanthene derivatives. The model is validated internally and externally and additionally with the set of inactive compounds of the original data, confirming model applicability for the design and discovery of novel xanthene derivatives. The QSAR model is available at the QsarDB repository (http://dx.doi.org/10.15152/QDB.237).

Acknowledgements

Selma Zukić is grateful to the DoraPlus scholarship program for fellowship [grant number 36.9-2/63] to conduct research at the University of Tartu provided by the European Regional Development Fund and Estonian government through Foundation Archimedes. This work was supported by the Ministry of Education and Research, Republic of Estonia through Estonian Research Council [grant number IUT34-14] and the European Union European Regional Development Fund through Foundation Archimedes [grant number TK143, Centre of Excellence in Molecular Cell Engineering]. The authors are grateful to Dr. Mare Oja (Univ. of Tartu, Estonia) for help in converting some of the data.

Disclosure statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Funding

This work was supported by the Estonian Research Council [IUT34-14]; Archimedes Foundation [36.9-2/63,TK143].

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