Publicação
AI-assisted and physics-refined modeling of human voltage-gated sodium channels for selective target discovery
| datacite.subject.sdg | 03:Saúde de Qualidade | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| dc.contributor.author | Boazinha, João Pedro | |
| dc.contributor.author | Carneiro, João | |
| dc.contributor.author | Cerqueira, Nuno M. F. S. A. | |
| dc.contributor.author | Sousa, Sérgio F. | |
| dc.date.accessioned | 2026-07-17T16:07:56Z | |
| dc.date.available | 2026-07-17T16:07:56Z | |
| dc.date.issued | 2026-07-05 | |
| dc.description.abstract | Introduction: Voltage-gated sodium channels are membrane proteins that open and close in response to voltage changes to allow Na⁺ influx in excitable cells, enabling action potentials, muscle contraction, and electrical signaling. Aim: Apply a hybrid modelling strategy that combines artificial intelligence and physics-based refinement to build a realistic 3D models of NaV channels. | eng |
| dc.identifier.doi | 10.34632/85963740-8eab-421f-88a5-510f3d525e9d | |
| dc.identifier.other | 85963740-8eab-421f-88a5-510f3d525e9d | |
| dc.identifier.uri | http://hdl.handle.net/10400.14/58760 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.rights.uri | N/A | |
| dc.title | AI-assisted and physics-refined modeling of human voltage-gated sodium channels for selective target discovery | |
| dc.type | conference poster not in proceedings | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 1 | |
| oaire.citation.startPage | 1 | |
| oaire.citation.title | 49th International Congress of Theoretical Chemists of Latin Expression | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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