Predicting Protein Interactions Across Species
Author Information
Author(s): Lee Sheng-An, Chan Cheng-hsiung, Tsai Chi-Hung, Lai Jin-Mei, Wang Feng-Sheng, Kao Cheng-Yan, Huang Chi-Ying
Primary Institution: National Yang-Ming University
Hypothesis
Can ortholog-based methods improve the prediction of protein-protein interactions (PPIs) across different species?
Conclusion
The study demonstrates that ortholog-based methods can effectively predict inter-species protein interactions, particularly between humans and the malaria parasite Plasmodium falciparum.
Supporting Evidence
- The study predicts over 32,000 human interactions using orthologous pairs.
- It identifies specific interactions between P. falciparum calmodulin and human proteins.
- The research highlights the importance of calcium levels in host-parasite interactions.
Takeaway
Scientists can use information about similar proteins in different species to guess how they interact, which can help in understanding diseases like malaria.
Methodology
The study expanded orthologous pairs from 18 eukaryotic species and used experimental PPI datasets to predict interologs.
Potential Biases
Potential biases may arise from the reliance on high-throughput data, which can include false positives.
Limitations
The accuracy of predicted interactions may be affected by the limitations of high-throughput methods and the biological relevance of inferred interactions.
Digital Object Identifier (DOI)
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