D'Amore, Vincenzo Maria (2022) Innovative Computational Approaches in Drug Discovery: Design and Development of Brand New Chemotherapeutic Agents. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Resource language: English
Title: Innovative Computational Approaches in Drug Discovery: Design and Development of Brand New Chemotherapeutic Agents
D'Amore, Vincenzo Mariavincenzomaria.damore@unina.it
Date: 9 March 2022
Number of Pages: 198
Institution: Università degli Studi di Napoli Federico II
Department: Farmacia
Dottorato: Scienza del farmaco
Ciclo di dottorato: 34
Coordinatore del Corso di dottorato:
D'Auria, Maria Valeriamadauria@unina.it
Marinelli, LucianaUNSPECIFIED
Date: 9 March 2022
Number of Pages: 198
Keywords: Medicinal Chemistry, Molecular Modeling, Computational Chemistry, Molecular Docking, Virtual Screening, Molecular Dynamics, Metadynamics
Settori scientifico-disciplinari del MIUR: Area 03 - Scienze chimiche > CHIM/08 - Chimica farmaceutica
Date Deposited: 16 Mar 2022 15:53
Last Modified: 28 Feb 2024 10:23
URI: http://www.fedoa.unina.it/id/eprint/14501

Collection description

This PhD thesis is mainly focused on the applications of classical and advanced computational techniques to the medicinal chemistry field. Particularly, the wide armoury of known computational methods was here exploited to facilitate the identification and the development of new potential drug candidates. The manuscript is divided into four chapters. The first one describes the classical drug discovery pipeline and the advantages offered by computer-aided approaches. In the second one, a theoretical overview of the methodologies applied in this work is provided. The final chapters (3 and 4) focus on four research projects, divided into two distinct sections, based on the kind of employed methodologies. In detail, in Chapter 3, two studies centred on the ligand binding problem are presented: i) a successful virtual screening campaign targeting the DNA G-Quadruplex structure of the KRAS proto-oncogene promoter, and ii) a mechanistic insight into the binding mechanism of small molecules to FPR2, a GPCR involved in the resolution of the inflammatory process. In Chapter 4, instead, the importance of an accurate conformational sampling for rationalizing the activity/selectivity profile of peptide ligands is highlighted. In the first case study, due to the availability of NMR-derived data, a mixed computational-experimental approach was adopted to investigate the folding and binding properties of a small cyclopeptide, endowed with remarkable antiviral activity against Herpes Simplex Virus 1 (HSV1) infections. On the other hand, in the last project of this thesis, a purely computational approach was employed for studying the binding mechanism of the well-characterized antitumoral nonapeptide iRGD to integrin receptors.


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