Quantitative structure-activity relationship analysis of thiazolidineones: potent antidiabetic compounds
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Vijay Kumar Vishvakarma
, Monica Dubey
Abstract
Background: Type 2 diabetes is the most common form of diabetes, accounting for over 90% of cases. Current treatment approaches for type 2 diabetes include diet, exercise, and a variety of pharmacologic agents, including insulin, biguanides, sulfonylureas, and thiazolidinediones.
Methods: In the present scenario, researchers focused themselves on thiazolidine ring-based compounds to cure type 2 diabetes mellitus. Among the peroxisome proliferator activated receptor (PPAR) family, PPAR-γ is the most effective in curing glucose homeostasis.
Results and conclusions: Thiazolidine ring-based compounds act as PPAR-γ agonists, and herein, we have successfully developed nine derivatives of thiazolidine ring-based compounds that are found to be biologically potent using two-dimensional quantitative structure-activity relationship model.
Conflict of interest statement
Authors’ conflict of interest disclosure: The authors stated that there are no conflicts of interest regarding the publication of this article.
Research funding: The authors acknowledge the Department of Science and Technology and the University Grant Commission for their financial support.
Employment or leadership: The corresponding author is an employee at Babasaheb Bhimrao Ambedkar University, Lucknow, Uttar Pradesh, India.
Honorarium: None declared.
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Artikel in diesem Heft
- Masthead
- Masthead
- Editorial
- Clinical pharmacology of drug metabolism and drug interactions: clinical, interethnical and regulatory aspects
- Opinion Paper
- An ethical framework for the disposal of autologous stem cells
- Original Articles
- A prospective observational study of medication errors in general medicine department in a tertiary care hospital
- Regulatory polymorphisms in CYP2C19 affecting hepatic expression
- Quantitative structure-activity relationship analysis of thiazolidineones: potent antidiabetic compounds
- Statins and daptomycin: safety assessment of concurrent use and evaluation of drug interaction liability
- CYP3A4/5 combined genotype analysis for predicting statin dose requirement for optimal lipid control
- Congress Abstracts
- Post-Congress Satellite Meeting/Pharmacogenomics and theranostics in practice