Drug Designing:Homology modeling of PKC inhibitors

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Computer Aided Drug designing is the approach of finding new drugs, based on the biological targets (the protein). Protein kinase C (PKC) is an isozymes and a subclass of threonine/serine kinase family of proteins. it is known to be an important class of enzymes in cell signaling and as drug targets, cell cycle control has led to detailed structural and functional studies in various eukaryotes, and hence to the synthesis of specific chemical inhibitors for managing disease.Homology modeling of Protein kinase C delta predicts a 3-D structure protein.Homology models were generated by software tool called "MODELLER".Phosphorylation by protein kinases is a central theme in biological systems. Activity of protein kinases will be stopped by blocking the phosphorylation. ATP docking with protein kinase C is the main step in this research work and was successfully done. The results of ATP docking were compared with another protein in which ATP was already docked. Then inhibitors of protein kinase C delta were retrieved and converted into pdb file format, their docking with protein was also carried out by AutoDock Vina.

Autorentext

My name is Waseem Akhtar Shhamshari.I have done my BS(hons) in Bioinformatics from Goverment College University Faisalabad, Pakistan in 2011.Now I am Research Student doing research work in Computer Aided Drug Designing and MBA from Preston University Islamabad, Pakistan.My major interest are in the areas of Bioinformatics,Biochemistry,Mol. Biology

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Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Gewicht 143g
    • Untertitel Computer Aided Drug designing through Homology modling of PKC dalta,known to be important class of enzyme as drug target
    • Autor Waseem Akhtar Shamshari , Umar Hassan Khan Niazi , Ambreen Ayub
    • Titel Drug Designing:Homology modeling of PKC inhibitors
    • Veröffentlichung 27.09.2012
    • ISBN 3659251399
    • Format Kartonierter Einband
    • EAN 9783659251399
    • Jahr 2012
    • Größe H220mm x B150mm x T6mm
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 84
    • GTIN 09783659251399

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