Abstract
4-Thiazolidinone is a promising scaffold for the search of new potential antibacterial, antiviral, antidiabetic and anticancer agents etc. SAR analysis of the most potent compounds and different activities evaluation provide a solid background for de novo design of novel drugs. Current review summarizes recent QSAR studies on the 4-thiazolidinones making the emphasis on both technical and interpretative sides of reported models. Several papers among them are devoted to the anticancer activity of 4-thiazolidinone derivatives and are reporting QSAR models that were obtained via multiple linear regressions (MLR). Additionally, a non-linear approach, namely Gaussian processes, has been applied to identify the relationships between 4-thiazolidinones structure and tumor cell growth inhibition. The interpretation of the reported model highlights the core template for the design of new highly-potent anticancer agents and proposes a hypothesis about key role of Hydrogen at the N-atom three bonds away from thiazolidine in the interaction with biotarget.
Keywords: Anticancer activity, Gaussian processes, QSAR, rhodanines, 4-thiazolidinones, 2, 4-thiazolidinediones
Current Topics in Medicinal Chemistry
Title:Biologically Active 4-Thiazolidinones: A Review of QSAR Studies and QSAR Modeling of Antitumor Activity
Volume: 12 Issue: 24
Author(s): Oleh Devinyak, Borys Zimenkovsky and Roman Lesyk
Affiliation:
Keywords: Anticancer activity, Gaussian processes, QSAR, rhodanines, 4-thiazolidinones, 2, 4-thiazolidinediones
Abstract: 4-Thiazolidinone is a promising scaffold for the search of new potential antibacterial, antiviral, antidiabetic and anticancer agents etc. SAR analysis of the most potent compounds and different activities evaluation provide a solid background for de novo design of novel drugs. Current review summarizes recent QSAR studies on the 4-thiazolidinones making the emphasis on both technical and interpretative sides of reported models. Several papers among them are devoted to the anticancer activity of 4-thiazolidinone derivatives and are reporting QSAR models that were obtained via multiple linear regressions (MLR). Additionally, a non-linear approach, namely Gaussian processes, has been applied to identify the relationships between 4-thiazolidinones structure and tumor cell growth inhibition. The interpretation of the reported model highlights the core template for the design of new highly-potent anticancer agents and proposes a hypothesis about key role of Hydrogen at the N-atom three bonds away from thiazolidine in the interaction with biotarget.
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Devinyak Oleh, Zimenkovsky Borys and Lesyk Roman, Biologically Active 4-Thiazolidinones: A Review of QSAR Studies and QSAR Modeling of Antitumor Activity, Current Topics in Medicinal Chemistry 2012; 12 (24) . https://dx.doi.org/10.2174/1568026611212240006
DOI https://dx.doi.org/10.2174/1568026611212240006 |
Print ISSN 1568-0266 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4294 |
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