dc.contributor.advisor |
Giacometti, Achille |
it_IT |
dc.contributor.author |
Toffano, Alberto Antonio <1989> |
it_IT |
dc.date.accessioned |
2019-06-20 |
it_IT |
dc.date.accessioned |
2019-11-20T07:06:57Z |
|
dc.date.available |
2020-12-02T08:02:14Z |
|
dc.date.issued |
2019-07-08 |
it_IT |
dc.identifier.uri |
http://hdl.handle.net/10579/15049 |
|
dc.description.abstract |
As the state-of-the-art stands at present, it is recognised the narrow correlation between the behavior of voltage-gated sodium channel transmembrane human isoform NaV 1.7 and pain perception .
Gain of function mutations are strictly related with several neurophaty (IEM, PEPD). On the other way round, loss of functions are associated with congenital insensivity to pain. Drugs actually avaiable are not able to relief effectively patients with pain disorders. It is thus necessary improve the knowledge in this sense, difficulties in obtaining these informations resides in production and purification of enough proteins to XDR analysis for each genetic variants. In order to achive these goals, computational chemistry comes in help. It allows to develop large amount of structural models of proteins of which are known only the primary sequence |
it_IT |
dc.language.iso |
en |
it_IT |
dc.publisher |
Università Ca' Foscari Venezia |
it_IT |
dc.rights |
© Alberto Antonio Toffano, 2019 |
it_IT |
dc.title |
Protein Modelling Focused on Voltage-Gated Sodium Channel NaV 1.7 |
it_IT |
dc.title.alternative |
A network topology approach to the relation between painful disorders and mutations in sodium channel proteins |
it_IT |
dc.type |
Master's Degree Thesis |
it_IT |
dc.degree.name |
Scienze e tecnologie dei bio e nanomateriali |
it_IT |
dc.degree.level |
Laurea magistrale |
it_IT |
dc.degree.grantor |
Dipartimento di Scienze Molecolari e Nanosistemi |
it_IT |
dc.description.academicyear |
2018/2019_sessione_estiva |
it_IT |
dc.rights.accessrights |
embargoedAccess |
it_IT |
dc.thesis.matricno |
840040 |
it_IT |
dc.subject.miur |
FIS/03 FISICA DELLA MATERIA |
it_IT |
dc.description.note |
|
it_IT |
dc.degree.discipline |
|
it_IT |
dc.contributor.co-advisor |
|
it_IT |
dc.provenance.upload |
Alberto Antonio Toffano (840040@stud.unive.it), 2019-06-20 |
it_IT |
dc.provenance.plagiarycheck |
Achille Giacometti (achille@unive.it), 2019-07-08 |
it_IT |