Prediction of New Fungal Pathogen Effector-like Proteins and Their Molecular Interactions with Their Host
dc.contributor.author | Rozano, Lina | |
dc.contributor.supervisor | Ricardo Mancera | en_US |
dc.contributor.supervisor | James Hane | en_US |
dc.date.accessioned | 2023-07-20T04:51:28Z | |
dc.date.available | 2023-07-20T04:51:28Z | |
dc.date.issued | 2022 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/92794 | |
dc.description.abstract |
This research made use of all publicly available, experimentally-determined 3D structures of fungal effector proteins to develop, validate and test a range of biomolecular modelling approaches to predict the structure, function and interactions of effector proteins. New protein folds and likely biological functions were identified within effector families, and a protocol based on a rigid docking approach was developed to differentiate between two different MAX binding regions on plant HMA domain proteins. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Prediction of New Fungal Pathogen Effector-like Proteins and Their Molecular Interactions with Their Host | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | Curtin Medical School | en_US |
curtin.accessStatus | Fulltext not available | en_US |
curtin.faculty | Health Sciences | en_US |
curtin.contributor.orcid | Rozano, Lina [0000-0002-6182-2089] | en_US |
dc.date.embargoEnd | 2025-07-20 |