EventsThe 14th International Electronic Conference on Synthetic Organic Chemistry
Published
This submission belongs to the session b. Natural Products Chemistry of the event The 14th International Electronic Conference on Synthetic Organic Chemistry
Published date
30 Oct, 2010
Citation
Sachin S Laddha, Sandeep O Waghulde, Omprakash Tanwar, Chandrabose Karthikeyan, Mukesh L Bhaisare, A QSAR analysis of some amino substituted Pyrido[3,2-b]pyrazinones as potent and selective PDE-5 inhibitors, in Proceedings of The 14th International Electronic Conference on Synthetic Organic Chemistry, 1 November–30 November 2010, MDPI: Basel, Switzerland, doi: 10.3390/ecsoc-14-00445
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A QSAR analysis of some amino substituted Pyrido[3,2-b]pyrazinones as potent and selective PDE-5 inhibitors

Sandeep O Waghulde 2
Omprakash Tanwar 3
Chandrabose Karthikeyan 3
Mukesh L Bhaisare 3
1. Drug Discovery Group, Sheetal Laddha Research Foundation, Umarkhed, Dist: Yeotmal, 445206, Maharashtra, India.
2. Medicinal Chemistry Laboratory, Saraswati Vidya Bhavan’s, College of Pharmacy, Sankara Nagar, Kalyan-Shill Road,Sonarpada,Dombivli (E), 421204 Thane, Maharashtra, India
3. Department of Pharmaceutical Sciences, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Airport Bypass Road, Gandhi Nagar, Bhopal-462036, Madhya Pradesh, India
Abstract
A QSAR study has been performed on a series of substituted pyrido[3,2-b]pyrazinones as potent and selective PDE-5 Inhibitors. The compounds in the selected series were characterized by spatial, molecular and electrotopological descriptors using QSAR module of molecular design suite (V-Life MDSTM 3.5). Correlations between inhibitory activities and calculated predictor variables were established through partial least square regression (stepwise forward) method. The generated QSAR models reveal that the topology of the molecules crucially influences the desired inhibitory activity of pyrido[3,2-b]pyrazinones. PDE-5 inhibition can be well defined by the models generated and the molecules are more selective towards PDE –5 while PDE –6 and PDE –11 inhibitory activities cannot be well delineated by the help of generated QSAR models. So PDE-5 selective compounds can be synthesized based on the assumption of the present QSAR analysis. The best model shows 90% correlation for PDE-5 inhibitory activity which explains good reliability of the model. However cross correlated regression coefficients (Q2) 0.5959 further validate the model significance. The present study imply that the PDE-5 inhibition can be augmented primarily by increasing molecular refractivity and number of carbons connected to the aromatic rings, single bonds and by decreasing number of carbons connected to the double bonds.
Keywords
Quantitative structure activity relationship (QSAR)
molecular design suite (MDS)
PDE-5 Inhibitors
pyrido[3,2-b]pyrazinones.
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