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IEEE/ICACT20250017 Slide.17        [Big Slide]       [YouTube]	Oral Presentation
	We evaluated our models using two primary metrics: Gap Filling Accuracy (GFA): Measures correctness in filling amino acid gaps Calculated as: GFA = Correct Predictions / Total Gaps Full Sequence Accuracy (FSA): Evaluates the accuracy of entire sequence generation Calculated as: FSA = Correct Predictions / Total Sequence The figure shows the Mabcampath scaffold we used for testing, highlighting the gaps in the sequence that need to be filled.

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