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5e72450500004237 SARS COV2 cycle

Based on the complex annotation guidelines, I'd recommend that for cases like the SARS-CoV-2 RNA polymerase complex, where multiple viral proteins work together, the model should clearly represent which subunit carries which activity - which is already done in this model. However, the relationships between complex members could be made clearer through the activity flow.

Final Recommendations

  1. Add evidence for all causal relationships: Ensure all causal associations have appropriate evidence codes and PMIDs.

  2. Use more specific causal predicates: Replace general RO:0002411 (causally upstream of) terms with more specific ones like RO:0002629 (directly positively regulates) or RO:0002630 (directly negatively regulates) where possible.

  3. Complete the biological processes: Ensure all molecular functions are associated with appropriate biological processes to provide full context.

  4. Review virus-host interactions: Consider adding more explicit representation of key host factors that interact with viral proteins, particularly for immune evasion.

  5. Check activity flow: Ensure that the flow of activities accurately represents the SARS-CoV-2 life cycle based on current literature.

  6. Update evidence codes: For some annotations using ECO:0000250 (sequence similarity evidence), consider if more direct evidence is now available given the extensive research on SARS-CoV-2.

Overall, this is a well-constructed GO-CAM model representing the SARS-CoV-2 viral cycle with strong evidence support. The identified issues are relatively minor and addressing them would further enhance the model's utility and accuracy.