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Article analysis:

The article “Prediction of effector protein structures from fungal phytopathogens enables evolutionary analyses” provides an overview of the use of computational structural genomics as a framework for revealing evolutionary connections between sequence-unrelated structurally similar (SUSS) effectors in fungal phytopathogens. The article is well written and provides a comprehensive overview of the topic, with clear explanations and examples provided throughout. The authors provide evidence for their claims by citing relevant studies and research papers, which adds credibility to their arguments.

However, there are some potential biases in the article that should be noted. For example, the authors focus mainly on the benefits of using computational structural genomics as a framework for studying SUSS effectors, without exploring any potential drawbacks or risks associated with this approach. Additionally, the authors do not discuss any possible counterarguments or alternative approaches that could be used to study SUSS effectors. Furthermore, while the authors cite relevant studies and research papers throughout the article, they do not provide any evidence for their own claims or conclusions beyond citing these sources.

In conclusion, while this article provides an informative overview of using computational structural genomics as a framework for studying SUSS effectors in fungal phytopathogens, it does have some potential biases that should be noted when evaluating its trustworthiness and reliability.