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ProteinStructure -> FeatureVector
Selectively drop or replace crystallographic B-factor features when processing computationally predicted structures (e.g., AlphaFold) to prevent misinterpretation of pLDDT confidence scores as thermal mobility.
Problem it solves
ML models trained on crystal structures misinterpret non-crystallographic confidence metrics stored in the B-factor field.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.