Using Molecular Dynamics, Graph and Network Theory as well as Machine Learning techniques, we develop an integrated pipeline that can be used to study the function-structure relationship of ion-channels. We apply this concepts to the analysis of variants in sodium channel Nav1.7 subunit found in clinical studies of painful syndromes
Insights to the function of ion channels through an integrated in-house computational toolbox
Moi, Jacopo
2022/2023
Abstract
Using Molecular Dynamics, Graph and Network Theory as well as Machine Learning techniques, we develop an integrated pipeline that can be used to study the function-structure relationship of ion-channels. We apply this concepts to the analysis of variants in sodium channel Nav1.7 subunit found in clinical studies of painful syndromesFile in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
847329-1260914.pdf
accesso aperto
Tipologia:
Altro materiale allegato
Dimensione
8.25 MB
Formato
Adobe PDF
|
8.25 MB | Adobe PDF | Visualizza/Apri |
I documenti in UNITESI 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/20.500.14247/5360