Pharmacophore Based Virtual Screening Approach to Identify Selective PDE4B Inhibitors
(ندگان)پدیدآور
Gaurav, AnandGautam, Vertikaنوع مدرک
TextResearch article
زبان مدرک
Englishچکیده
Phosphodiesterase 4 (PDE4) has been established as a promising target in asthma andchronic obstructive pulmonary disease. PDE4B subtype selective inhibitors are known toreduce the dose limiting adverse effect associated with non-selective PDE4B inhibitors. Thismakes the development of PDE4B subtype selective inhibitors a desirable research goal. Toachieve this goal, ligand based pharmacophore modeling approach is employed. Separatepharmacophore hypotheses for PDE4B and PDE4D inhibitors were generated using HypoGenalgorithm and 106 PDE4 inhibitors from literature having thiopyrano [3,2-d] Pyrimidines,2-arylpyrimidines, and triazines skeleton. Suitable training and test sets were created usingthe molecules as per the guidelines available for HypoGen program. Training set was used forhypothesis development while test set was used for validation purpose. Fisher validation wasalso used to test the significance of the developed hypothesis. The validated pharmacophorehypotheses for PDE4B and PDE4D inhibitors were used in sequential virtual screening of zincdatabase of drug like molecules to identify selective PDE4B inhibitors. The hits were screenedfor their estimated activity and fit value. The top hit was subjected to docking into the activesites of PDE4B and PDE4D to confirm its selectivity for PDE4B. The hits are proposed to beevaluated further using in-vitro assays.
کلید واژگان
Phosphodiesterase 4Pharmacophore
Hypogen
Virtual Screening
Zinc database
docking
computional and modelling
شماره نشریه
3تاریخ نشر
2017-07-011396-04-10
ناشر
School of Pharmacy, Shahid Beheshti University of Medical Sciencesسازمان پدید آورنده
Faculty of Pharmaceutical Sciences, UCSI University, No. 1, UCSI Heights, Jalan Menara Gading, Taman Connaught, 56000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Kuala Lumpur, Malaysia.Department of Chemistry, Faculty of Science, University of Malaya 50603, Kuala Lumpur, Malaysia
شاپا
1735-03281726-6890




