QSAR analysis of PPAR-gamma agonists as anti-diabetic agents.
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.
Dixit
Anshuman
A
Medicinal and Process Chemistry Division, Central Drug Research Institute, Chattar Manzil Palace, MG Marg, Lucknow, Uttar Pradesh 226001, India.
Saxena
Anil K
AK
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
D007004:Hypoglycemic Agents; D047495:PPAR gamma