Di Martino, Giovanni Paolo
(2014)
Computational Methods in Biophysics and Medicinal Chemistry: Applications and Challenges , [Dissertation thesis], Alma Mater Studiorum Università di Bologna.
Dottorato di ricerca in
Chimica, 26 Ciclo. DOI 10.6092/unibo/amsdottorato/6329.
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Abstract
In this thesis I described the theory and application of several computational methods in solving medicinal chemistry and biophysical tasks. I pointed out to the valuable information which could be achieved by means of computer simulations and to the possibility to predict the outcome of traditional experiments. Nowadays, computer represents an invaluable tool for chemists.
In particular, the main topics of my research consisted in the development of an automated docking protocol for the voltage-gated hERG potassium channel blockers, and the investigation of the catalytic mechanism of the human peptidyl-prolyl cis-trans isomerase Pin1.
Abstract
In this thesis I described the theory and application of several computational methods in solving medicinal chemistry and biophysical tasks. I pointed out to the valuable information which could be achieved by means of computer simulations and to the possibility to predict the outcome of traditional experiments. Nowadays, computer represents an invaluable tool for chemists.
In particular, the main topics of my research consisted in the development of an automated docking protocol for the voltage-gated hERG potassium channel blockers, and the investigation of the catalytic mechanism of the human peptidyl-prolyl cis-trans isomerase Pin1.
Tipologia del documento
Tesi di dottorato
Autore
Di Martino, Giovanni Paolo
Supervisore
Co-supervisore
Dottorato di ricerca
Scuola di dottorato
Scienze chimiche
Ciclo
26
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
computational chemistry, medicinal chemistry, biophysics, docking, binding affinity, herg, potassium channel, pin1, peptidyl-prolyl isomerase, umbrella sampling, free energy, reaction mechanism, catalysis
URN:NBN
DOI
10.6092/unibo/amsdottorato/6329
Data di discussione
14 Aprile 2014
URI
Altri metadati
Tipologia del documento
Tesi di dottorato
Autore
Di Martino, Giovanni Paolo
Supervisore
Co-supervisore
Dottorato di ricerca
Scuola di dottorato
Scienze chimiche
Ciclo
26
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
computational chemistry, medicinal chemistry, biophysics, docking, binding affinity, herg, potassium channel, pin1, peptidyl-prolyl isomerase, umbrella sampling, free energy, reaction mechanism, catalysis
URN:NBN
DOI
10.6092/unibo/amsdottorato/6329
Data di discussione
14 Aprile 2014
URI
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