SARS-CoV-2 is a new coronavirus responsible for the global COVID-19 pandemic, detected in China in December 2019 and that has spread rapidly across the world. Our unit, with its specific expertise in structural bioinformatics and molecular modelling, has been involved in collaboration with epidemiology and molecular genetics groups to study SARS-CoV-2 proteome and to suggest possible molecular strategies able to inhibit virus infection. All coronaviruses, including SARS-CoV-2, evolve and adapt to the host through accumulation of mutations generated by characteristics of the virus RNA-polymerase. This work can be divided into two parts: the first part is focused onto the predictions of the potential effects of the mutations on the functions of the SARS-CoV-2 Spike glycoprotein, whereas the second part is focused at suggesting possible therapeutic strategies. In particular, I performed docking analyses to study the possible mode ad sites of interaction of inorganic polyphosphates with ACE2 and SARS-CoV-2 RNA dependent RNA polymerase (RdRp) because the molecular genetics group with whom we collaborate suggested that polyphosphates can enhance ACE2 proteasomal degradation and impair synthesis of viral RNA. In addition, I developed a pipeline to predict the most frequent sites of interaction between Spike glycoprotein and neutralizing monoclonal antibodies in order to propose therapeutic alternatives more specific and selective.

Structural bioinformatics analysis of the SARS-COV-2 proteome evolution to characterize the emerging variants of the virus and to suggest possible therapeutic strategies / Bianchi, Martina. - (2022 Dec 16).

Structural bioinformatics analysis of the SARS-COV-2 proteome evolution to characterize the emerging variants of the virus and to suggest possible therapeutic strategies

BIANCHI, MARTINA
16/12/2022

Abstract

SARS-CoV-2 is a new coronavirus responsible for the global COVID-19 pandemic, detected in China in December 2019 and that has spread rapidly across the world. Our unit, with its specific expertise in structural bioinformatics and molecular modelling, has been involved in collaboration with epidemiology and molecular genetics groups to study SARS-CoV-2 proteome and to suggest possible molecular strategies able to inhibit virus infection. All coronaviruses, including SARS-CoV-2, evolve and adapt to the host through accumulation of mutations generated by characteristics of the virus RNA-polymerase. This work can be divided into two parts: the first part is focused onto the predictions of the potential effects of the mutations on the functions of the SARS-CoV-2 Spike glycoprotein, whereas the second part is focused at suggesting possible therapeutic strategies. In particular, I performed docking analyses to study the possible mode ad sites of interaction of inorganic polyphosphates with ACE2 and SARS-CoV-2 RNA dependent RNA polymerase (RdRp) because the molecular genetics group with whom we collaborate suggested that polyphosphates can enhance ACE2 proteasomal degradation and impair synthesis of viral RNA. In addition, I developed a pipeline to predict the most frequent sites of interaction between Spike glycoprotein and neutralizing monoclonal antibodies in order to propose therapeutic alternatives more specific and selective.
16-dic-2022
File allegati a questo prodotto
File Dimensione Formato  
Tesi_dottorato_Bianchi.pdf

accesso aperto

Note: Tesi completa
Tipologia: Tesi di dottorato
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 9.47 MB
Formato Adobe PDF
9.47 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1671678
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact