We use a variety of validation techniques to guarantee high-quality and confidence in our models. These include:
pLDDT Scores: We assess the model’s local confidence-the higher the pLDDT score, the more reliable the model.
Ramachandran Plot: This checks if the model’s geometry makes sense, ensuring residues fall within acceptable areas.
ERRAT Score: It evaluates overall model quality-the lower the score, the better the quality.
MolProbity Analysis: Provides a comprehensive overview of the model’s geometry and stereochemistry, along with a detailed validation report.
Experimental Validation: We use experimental methods like X-ray crystallography, NMR spectroscopy, and Cryo-EM to further confirm the model’s accuracy.
