Prediction of New Fungal Pathogen Effector-like Proteins and Their Molecular Interactions with Their Host
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 biol...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
Curtin University
2022
|
| Online Access: | http://hdl.handle.net/20.500.11937/92794 |
| _version_ | 1848765666015838208 |
|---|---|
| author | Rozano, Lina |
| author_facet | Rozano, Lina |
| author_sort | Rozano, Lina |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:38:52Z |
| format | Thesis |
| id | curtin-20.500.11937-92794 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:38:52Z |
| publishDate | 2022 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-927942023-07-20T04:51:28Z Prediction of New Fungal Pathogen Effector-like Proteins and Their Molecular Interactions with Their Host Rozano, Lina 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. 2022 Thesis http://hdl.handle.net/20.500.11937/92794 Curtin University restricted |
| spellingShingle | Rozano, Lina Prediction of New Fungal Pathogen Effector-like Proteins and Their Molecular Interactions with Their Host |
| title | Prediction of New Fungal Pathogen Effector-like Proteins and Their
Molecular Interactions with Their Host |
| title_full | Prediction of New Fungal Pathogen Effector-like Proteins and Their
Molecular Interactions with Their Host |
| title_fullStr | Prediction of New Fungal Pathogen Effector-like Proteins and Their
Molecular Interactions with Their Host |
| title_full_unstemmed | Prediction of New Fungal Pathogen Effector-like Proteins and Their
Molecular Interactions with Their Host |
| title_short | Prediction of New Fungal Pathogen Effector-like Proteins and Their
Molecular Interactions with Their Host |
| title_sort | prediction of new fungal pathogen effector-like proteins and their
molecular interactions with their host |
| url | http://hdl.handle.net/20.500.11937/92794 |