title: QSAR analysis of PPAR-gamma agonists as anti-diabetic agents.
abstract: QSAR studies have been performed on some PPAR-gamma agonists using TATA-BioSuite software to identify the essential structural and physico-chemical features for their PPAR-gamma agonistic activity. The 23 compounds were divided into training set of 18 and test set of five compounds using k-nearest neighbor (kNN) clustering. The steric, electronic and topological descriptors were found to have an important role in governing the variation in agonistic activity. The predicted activities by the developed models were in good accordance with the observed activities.
authors.affiliation: Medicinal and Process Chemistry Division, Central Drug Research Institute, Chattar Manzil Palace, MG Marg, Lucknow, Uttar Pradesh 226001, India.
authors.forename: Anshuman
authors.initials: A
authors.lastname: Dixit
authors.forename: Anil K
authors.initials: AK
authors.lastname: Saxena
mesh_terms: D019295:Computational Biology; D007004:Hypoglycemic Agents / Q000737:chemistry* / Q000494:pharmacology*; D047495:PPAR gamma / Q000819:agonists*; D021281:Quantitative Structure-Activity Relationship; D015203:Reproducibility of Results; D012984:Software
chemical_list: D007004:Hypoglycemic Agents; D047495:PPAR gamma