Inhibition studies on the human 20S proteasome: molecular insights from a computational approach

Author

Serrano Aparicio, Natalia

Director

Moliner Ibáñez, Vicente

Świderek, Katarzyna Patrycja

Tutor

Martí Forés, Sergio

Date of defense

2022-02-01

Pages

287 p.



Department/Institute

Universitat Jaume I. Escola de Doctorat

Doctorate programs

Programa de Doctorat en Química Teòrica i Modelització Computacional

Abstract

The human 20S proteasome activity and malfunction has been related to numerous diseases and validated as a protein target for inhibition in the treatment of cancer, with three proteasome inhibitors approved as a drug. But these compounds could be improved, since usually the molecular mechanism of action is unknown. Thus, computational studies can clarify the mode of action of proteasome inhibitors, helping to understand the system and improve the inhibition process The present thesis is devoted to understand the mode of action of two classes of covalent inhibitors of the 20S proteasome, α,β-epoxyketones and γ-lactam-β-lactones. Molecular dynamics simulations with hybrid QM/MM potentials have been used to characterize the free energy landscape for the inhibition mechanism of these compounds and to provide the structures necessary to analyze and understand the inhibition process in the β5 active site of the proteasome, providing valuable knowledge to optimize the compounds into more efficient inhibitors.

Keywords

20S proteasome; Covalent inhibitors; QM/MM; Drug design; Computational modelling

Subjects

544 - Physical chemistry; 577 - Material bases of life. Biochemistry. Molecular biology. Biophysics

Knowledge Area

Ciències naturals, químiques, físiques i matemàtiques

Note

Compendi d'articles, Doctorat internacional

Documents

2022_Tesis_Serrano Aparicio_Natalia.pdf

41.23Mb

 

Rights

L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc/4.0/
L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc/4.0/

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