Current Progress On The Computational Methods For Prediction Of Host-pathogen Protein-protein Interaction In The Ganoderma Boninense-oil Palm Pathosystem | INSTITUT KAJIAN PERLADANGAN (IKP)
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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 (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.

 

 

Mohamad Hazwan Fikri Khairi,  Nor Azlan Nor Muhammad, Hamidun Bunawan, Kauthar Mohd Daud, Suhaila Sulaiman, Zeti-Azura Mohamed-Hussein, Mui-Yun Wong, Ahmad Bazli Ramzi. (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. Volume 129 (2024)

 

Artikel penuh : https://doi.org/

 

Tarikh Input: 27/03/2024 | Kemaskini: 27/03/2024 | ainzubaidah

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