The present study focuses on HGPRT target inhibitors search based on proteins of purine salvage pathway in Leishmania donovani. For this we had modelled HGPRT protein using comparative modelling and their validated, based on which docking (DS2.0 and GOLD program) calculations were done. In the next step, active sites were explored to allow compounds to dock. Finally, we screened common hits amongst these protein inhibitors and GMP analogous as wel as reported Leishmanial inhibitors. Top compounds were validated and their QSAR and ADME/Tox profiles were also predicted by using TSAR in Discovery studio. Some ligands(acyclovir and pentamidine) have shown good dock score and fitness score in the protein target. Interaction profiles can be further utilized to build computational novel structures. The further work needed to validate the hits molecules in assays and optimize the lead molecules
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As a Pharmacoinformatician, I believe that post-graduate studies would provide me with the opportunities to attend advanced courses and be the stepping stone to my career in research from Post-graduate (MS and Ph.D.) study at National Institute of Pharmaceutical Education and Research (NIPER) holds this promise for me.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The present study focuses on HGPRT target inhibitors search based on proteins of purine salvage pathway in Leishmania donovani. For this we had modelled HGPRT protein using comparative modelling and their validated, based on which docking (DS2.0 and GOLD program) calculations were done. In the next step, active sites were explored to allow compounds to dock. Finally, we screened common hits amongst these protein inhibitors and GMP analogous as wel as reported Leishmanial inhibitors. Top compounds were validated and their QSAR and ADME/Tox profiles were also predicted by using TSAR in Discovery studio. Some ligands(acyclovir and pentamidine) have shown good dock score and fitness score in the protein target. Interaction profiles can be further utilized to build computational novel structures. The further work needed to validate the hits molecules in assays and optimize the lead molecules. Seller Inventory # 9783659303906
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Taschenbuch. Condition: Neu. Structure identification Inhibitors designing against HGPRTase | By Insilico, SAR and ADME/Tox prediction | Md Yousuf Ansari (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659303906 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 106168955
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