Protein Modelling Focused on Voltage-Gated Sodium Channel NaV 1.7

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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


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