QSAR Studies on Thiazolidines: A Biologically Privileged Scaffold

  • Yenamandra S. PrabhakarEmail author
  • V. Raja Solomon
  • Manish K. Gupta
  • S. B. KattiEmail author
Part of the Topics in Heterocyclic Chemistry book series (TOPICS, volume 4)


A large number of drugs and biologically relevant molecules contain heterocyclic systems. Often the presence of hetero atoms or groupings imparts preferential specificities in their biological responses. Amongst the heterocyclic systems, thiazolidine is a biologically important scaffold known to be associated with several biological activities. Some of the prominent biological responses attributed to this skeleton are antiviral, antibacterial, antifungal, antihistaminic, hypoglycemic, anti-inflammatory activities. This diversity in the biological response profiles of thiazolidine has attracted the attention of many researchers to explore this skeleton to its multiple potential against several activities. Many of these synthetic and biological explorations have been subsequently analyzed in detailed quantitative structure-activity relationship (QSAR) studies to correlate the respective structural features and physicochemical properties with the activities to identify the important structural components in deciding their activity behavior. In this, drugs or any biologically active molecules may be viewed as structural frames consisting of strategically positioned functional groups that will interact effectively with the complementary groups/sites of the receptor. With this in focus, the present article reviews the QSAR studies of diverse biological activities of the thiazolidines published during the past decade.

Thiazolidines QSAR Molecular modeling 



Aspergillus fumigatus


acquired immune deficiency syndrome


artificial neural network


aldose reductase


adenosin tri-phosphatase


back propagation neural networks


Candida albicans


cyclic-adenosine mono phosphate


Cryptococcus neoformans


comprehensive descriptors for structural and statistical analysis


comparative molecular field analysis


comparative molecular similarity analysis




carrageenan mice paw edema


combinatorial protocol in multiple linear regression


enzyme ligand interaction


factor analysis


genetic partial least squares




genetic function approximation




human immunodeficiency virus


molecular electronegativity distance vector


molecular field analysis


multiple linear regression




molecular operating environment


molecular orbital partial atomic charge


molecular shape analysis


non-nucleoside reverse transcriptase inhibitors


nitric oxide


neuropeptide Y5 receptor


nucleoside reverse transcriptase inhibitors


non-steroidal anti-inflammatory drugs


octopamine agonists


principle components regression


partial least square


peroxisome proliferator-activated receptors


quantitative structure-activity relationship


receptor surface model


reverse transcriptase


Tricophyton mentagrophyte


Thromboxane A2




variable selection and modeling method based on prediction


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Two of the authors (VRS and MKG) gratefully acknowledge CSIR, New Delhi, India for financial support in the form of a Senior Research Fellowship. CDRI communication no. 6894.


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Authors and Affiliations

  1. 1.Medicinal and Process Chemistry DivisionCentral Drug Research InstituteLucknow-226 001India

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