Elucidation of chemical phenomena by means of computational chemistry

Ivan, Stanislav. Elucidation of chemical phenomena by means of computational chemistry. 2005, Doctoral Thesis, University of Basel, Faculty of Science.


Official URL: http://edoc.unibas.ch/diss/DissB_7272

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The goal of this PhD work was the application of tools of computational chemistry in
various research areas of chemistry.
The first chapter deals with the mechanism of the unusual spontaneous cyclization of
Acridin-9-ylmethyl thioureas observed during the attempted synthesis of new
spirocompounds based on the acridine skeleton. The reaction path simulations were
performed using ab initio quantum chemistry methods. The new reaction mechanism was
suggested, in which the thione tautomer of thiourea intermediate plays a crucial role and
determines the course of the whole reaction.
In the second part, structural aspects of the modified DNA double strand were
investigated by means of molecular dynamics. Simulations shed light on the behaviour of
the deformed double strand upon irradiation. The observed phenomena can be explained
in terms of local deformations caused by two CPD units, which cause the preference of
the electron transfer in one direction.
The goal of this theoretical study was to attempt to find answers to particular questions
emerging during the practical experiments. In this regard, it was successful. I see it as a
nice example of combining the experimental work with theoretical models in pursuing
the common objective. As the science advances, more sophisticated problems are
emerging. To address these questions, more complex approaches are required. And in my
opinion, the computational chemistry has already established its firm and undisputable
position as a powerful tool in the modern era of multi-disciplinary projects.
Advisors:Giese, Bernd
Committee Members:Meuwly, Markus
Faculties and Departments:05 Faculty of Science > Departement Chemie > Former Organization Units Chemistry > Bioorganische Chemie (Giese)
UniBasel Contributors:Giese, Bernd and Meuwly, Markus
Item Type:Thesis
Thesis Subtype:Doctoral Thesis
Thesis no:7272
Thesis status:Complete
Number of Pages:132
Identification Number:
edoc DOI:
Last Modified:22 Jan 2018 15:50
Deposited On:13 Feb 2009 15:14

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