Research output per year
Research output per year
Project Details
Project Description
Australian Research Council (ARC) Linkage Projects: A$1,146,003.00
The revolution in artificial intelligence (AI) provides unprecedented opportunities for integrative analyses of complex multi-omics data sets and for creating radically new strategies to control some of the world’s most serious animal diseases. In a strong partnership with international experts, we will use AI-based methods to make major conceptual advances in our understanding of eukaryotic pathogens and host-pathogen interactions, discover the "choke-points" in biological pathways, and develop novel treatments, vaccines and diagnostics. This leap forward will substantially enhance the global profile of pathogen research in Australia, build major capacity in a priority area, and enable access to international research funding and networks.
The revolution in artificial intelligence (AI) provides unprecedented opportunities for integrative analyses of complex multi-omics data sets and for creating radically new strategies to control some of the world’s most serious animal diseases. In a strong partnership with international experts, we will use AI-based methods to make major conceptual advances in our understanding of eukaryotic pathogens and host-pathogen interactions, discover the "choke-points" in biological pathways, and develop novel treatments, vaccines and diagnostics. This leap forward will substantially enhance the global profile of pathogen research in Australia, build major capacity in a priority area, and enable access to international research funding and networks.
| Short title | AI to combat pathogens |
|---|---|
| Status | Active |
| Effective start/end date | 1/07/23 → … |
Funding
- Australian Research Council (ARC): A$839,271.00
Keywords
- Eukaryotic pathogens
- Artificial intelligence
- Host-pathogen interactions
- Target identification
- Infectious diseases
- Machine learning
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Supervised contrastive learning enhances MHC-II peptide binding affinity prediction
Shen, L.-C., Liu, Y., Liu, Z., Zhang, Y., Wang, Z., Guo, Y., Rossjohn, J., Song, J. & Yu, D.-J., 15 Apr 2025, In: Expert Systems with Applications. 269, 11 p., 126463.Research output: Contribution to journal › Article › Research › peer-review
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Systems biology of Haemonchus contortus – Advancing biotechnology for parasitic nematode control
Zheng, Y., Young, N. D., Wang, T., Chang, B. C. H., Song, J. & Gasser, R. B., 1 Jul 2025, In: Biotechnology Advances. 81, 24 p., 108567.Research output: Contribution to journal › Review Article › Research › peer-review
Open Access -
The developmental lipidome of Nippostrongylus brasiliensis
Wang, T., Leeming, M. G., Williamson, N. A., Bouchery, T., Doolan, R., Le Gros, G., Reid, G. E., Harris, N. L. & Gasser, R. B., Dec 2025, In: Parasites and Vectors. 18, 1, 10 p., 27.Research output: Contribution to journal › Article › Research › peer-review
Open Access