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| dc.contributor.advisor | Giacometti, Achille | it_IT |
| dc.contributor.author | Moi, Jacopo <1994> | it_IT |
| dc.date.accessioned | 2022-06-26 | it_IT |
| dc.date.accessioned | 2022-10-11T08:26:09Z | |
| dc.date.available | 2022-10-11T08:26:09Z | |
| dc.date.issued | 2022-07-19 | it_IT |
| dc.identifier.uri | http://hdl.handle.net/10579/21679 | |
| dc.description.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 syndromes | it_IT |
| dc.language.iso | en | it_IT |
| dc.publisher | Università Ca' Foscari Venezia | it_IT |
| dc.rights | © Jacopo Moi, 2022 | it_IT |
| dc.title | Insights to the function of ion channels through an integrated in-house computational toolbox | it_IT |
| dc.title.alternative | Insights to the function of ion channels through an integrated in-house computational toolbox | it_IT |
| dc.type | Master's Degree Thesis | it_IT |
| dc.degree.name | Science and technology of bio and nanomaterials | it_IT |
| dc.degree.level | Laurea magistrale | it_IT |
| dc.degree.grantor | Dipartimento di Scienze Molecolari e Nanosistemi | it_IT |
| dc.description.academicyear | 2021/2022_sessione estiva_110722 | it_IT |
| dc.rights.accessrights | openAccess | it_IT |
| dc.thesis.matricno | 847329 | it_IT |
| dc.subject.miur | FIS/07 FISICA APPLICATA (A BENI CULTURALI, AMBIENTALI, BIOLOGIA E MEDICINA) | it_IT |
| dc.description.note | it_IT | |
| dc.degree.discipline | it_IT | |
| dc.contributor.co-advisor | it_IT | |
| dc.date.embargoend | it_IT | |
| dc.provenance.upload | Jacopo Moi (847329@stud.unive.it), 2022-06-26 | it_IT |
| dc.provenance.plagiarycheck | Achille Giacometti (achille@unive.it), 2022-07-11 | it_IT |
