Structure identification Inhibitors designing against HGPRTase

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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

Autorentext

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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659303906
    • Sprache Englisch
    • Größe H220mm x B220mm x T150mm
    • Jahr 2012
    • EAN 9783659303906
    • Format Kartonierter Einband (Kt)
    • ISBN 978-3-659-30390-6
    • Titel Structure identification Inhibitors designing against HGPRTase
    • Autor Md Yousuf Ansari , Ganesh Chandra Sahoo , Pradeep Das
    • Untertitel By Insilico, SAR and ADME/Tox prediction
    • Herausgeber LAP Lambert Academic Publishing
    • Anzahl Seiten 108
    • Genre Biologie

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