Current progress on the computational methods for prediction of host-pathogen protein-protein interaction in the Ganoderma boninense-oil palm pathosystem
Ganoderma boninense is a major pathogen for basal stem rot disease that can depolymerize lignocellulosic materials of the oil palm plant by secreting the cell wall-degrading enzymes. The management of this disease is complicated by the asymptomatic phase mediated by the protein-protein interaction (...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Academic Press
2024
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/115289/ http://psasir.upm.edu.my/id/eprint/115289/1/115289.pdf |
| _version_ | 1848866737068441600 |
|---|---|
| author | Khairi, Mohamad Hazwan Fikri Nor Muhammad, Nor Azlan Bunawan, Hamidun Mohd Daud, Kauthar Sulaiman, Suhaila Mohamed-Hussein, Zeti Azura Wong, Mui Yun Ramzi, Ahmad Bazli |
| author_facet | Khairi, Mohamad Hazwan Fikri Nor Muhammad, Nor Azlan Bunawan, Hamidun Mohd Daud, Kauthar Sulaiman, Suhaila Mohamed-Hussein, Zeti Azura Wong, Mui Yun Ramzi, Ahmad Bazli |
| author_sort | Khairi, Mohamad Hazwan Fikri |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Ganoderma boninense is a major pathogen for basal stem rot disease that can depolymerize lignocellulosic materials of the oil palm plant by secreting the cell wall-degrading enzymes. The management of this disease is complicated by the asymptomatic phase mediated by the protein-protein interaction (PPI) between the pathogen’s effector and plant proteins. There is a lack of network-wide studies on the PPI to elucidate the action of effectors on plant pathways from a systemic perspective as the computational prediction of host-pathogen PPI (HP PPI) is focused on human interaction. Hence, this minireview explores the current computational methods for predicting HP PPI and proposes an approach to predict PPI between G. boninense and oil palm. |
| first_indexed | 2025-11-15T14:25:21Z |
| format | Article |
| id | upm-115289 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:25:21Z |
| publishDate | 2024 |
| publisher | Academic Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1152892025-03-10T07:51:31Z http://psasir.upm.edu.my/id/eprint/115289/ Current progress on the computational methods for prediction of host-pathogen protein-protein interaction in the Ganoderma boninense-oil palm pathosystem Khairi, Mohamad Hazwan Fikri Nor Muhammad, Nor Azlan Bunawan, Hamidun Mohd Daud, Kauthar Sulaiman, Suhaila Mohamed-Hussein, Zeti Azura Wong, Mui Yun Ramzi, Ahmad Bazli Ganoderma boninense is a major pathogen for basal stem rot disease that can depolymerize lignocellulosic materials of the oil palm plant by secreting the cell wall-degrading enzymes. The management of this disease is complicated by the asymptomatic phase mediated by the protein-protein interaction (PPI) between the pathogen’s effector and plant proteins. There is a lack of network-wide studies on the PPI to elucidate the action of effectors on plant pathways from a systemic perspective as the computational prediction of host-pathogen PPI (HP PPI) is focused on human interaction. Hence, this minireview explores the current computational methods for predicting HP PPI and proposes an approach to predict PPI between G. boninense and oil palm. Academic Press 2024 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/115289/1/115289.pdf Khairi, Mohamad Hazwan Fikri and Nor Muhammad, Nor Azlan and Bunawan, Hamidun and Mohd Daud, Kauthar and Sulaiman, Suhaila and Mohamed-Hussein, Zeti Azura and Wong, Mui Yun and Ramzi, Ahmad Bazli (2024) Current progress on the computational methods for prediction of host-pathogen protein-protein interaction in the Ganoderma boninense-oil palm pathosystem. Physiological and Molecular Plant Pathology, 129. art. no. 102201. pp. 1-11. ISSN 0885-5765; eISSN: 1096-1178 https://linkinghub.elsevier.com/retrieve/pii/S0885576523002564 10.1016/j.pmpp.2023.102201 |
| spellingShingle | Khairi, Mohamad Hazwan Fikri Nor Muhammad, Nor Azlan Bunawan, Hamidun Mohd Daud, Kauthar Sulaiman, Suhaila Mohamed-Hussein, Zeti Azura Wong, Mui Yun Ramzi, Ahmad Bazli Current progress on the computational methods for prediction of host-pathogen protein-protein interaction in the Ganoderma boninense-oil palm pathosystem |
| title | Current progress on the computational methods for prediction of host-pathogen protein-protein interaction in the Ganoderma boninense-oil palm pathosystem |
| title_full | Current progress on the computational methods for prediction of host-pathogen protein-protein interaction in the Ganoderma boninense-oil palm pathosystem |
| title_fullStr | Current progress on the computational methods for prediction of host-pathogen protein-protein interaction in the Ganoderma boninense-oil palm pathosystem |
| title_full_unstemmed | Current progress on the computational methods for prediction of host-pathogen protein-protein interaction in the Ganoderma boninense-oil palm pathosystem |
| title_short | Current progress on the computational methods for prediction of host-pathogen protein-protein interaction in the Ganoderma boninense-oil palm pathosystem |
| title_sort | current progress on the computational methods for prediction of host-pathogen protein-protein interaction in the ganoderma boninense-oil palm pathosystem |
| url | http://psasir.upm.edu.my/id/eprint/115289/ http://psasir.upm.edu.my/id/eprint/115289/ http://psasir.upm.edu.my/id/eprint/115289/ http://psasir.upm.edu.my/id/eprint/115289/1/115289.pdf |