Integrating Protein Structure Prediction into AI Pipelines: Ensuring Data Quality for Reliable Drug Discovery
17 Sep 2025
Data Quality
- How to establish confidence in predicted protein structures and address variability across tools
- Best practices for maintaining consistency, interoperability, and quality control in structural datasets used for AI modeling.
- Strategies to effectively integrate predicted and experimental protein data to enhance model reliability and reduce downstream error rates.
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