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Identifier 000442915
Title Ανακάλυψη αναστολέων της κινάσης CK1 με την χρήση υπολογιστικών μεθόδων
Alternative Title Discovery of kinase CK1 inhibitors using computer aided methods
Author Ορφανάκης, Εμμανουήλ Γ.
Transcriber Κατερινόπουλος, Χαράλαμπος
Reviewer Μικρός, Εμμανουήλ
Μυριανθόπουλος, Βασίλειος
Abstract In recent years, there has been widespread use of computer methodologies in research to discover new drugs. In the present study, efforts were made, with the use of computational methods, to discover molecules with inhibitory activity against the four CK1 isoforms. Those kinases constitute major pharmacological targets for treating various pathologies. The search of CK1 inhibitor candidates was conducted in four open access molecule databases. Three different highly potent and reliable algorithms were used for the virtual screening process. Firstly, a theoretical model was constructed and validated with the use of available experimental data. Consequently, structure-based methods, as well as ligand-based methods, were applied. Binding and valuation calculations were used at two levels of protein modulation accuracy. In addition, a virtual evaluation was performed by comparing the threedimensional structural similarity between the molecules under study and known inhibitors of the investigated kinases (ligand-based). Finally, the results obtained through the different techniques mentioned were compared and a group of molecules with high probability of being biologically active against the CK1 kinases were selected. The binding of these lead compounds to the target kinases was studied by molecular dynamics simulations to draw conclusions about the time-dependent dimension of the interaction. Compounds that exhibit optimal characteristics and potential promising biological activity will be tested experimentally as potential inhibitors of the aforementioned proteins.
Language Greek
Subject Computational tools
In silico studies
In silico μελέτες
Protein inhibition
Αναστολή πρωτεϊνών
Υπολογιστικά εργαλεία
Issue date 2021-11-24
Collection   School/Department--School of Sciences and Engineering--Department of Chemistry--Post-graduate theses
  Type of Work--Post-graduate theses
Permanent Link https://elocus.lib.uoc.gr//dlib/3/1/a/metadata-dlib-1634291282-553632-10775.tkl Bookmark and Share
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