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knots_protbertBFD_alphafold

Text Classification
Transformers
PyTorch
bert
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M1 - finetuned ProtBert-BFD

The model is trained on knots_AF dataset

The accuracy on the test set is ~ 0.9848

M1 ProtBert BFD Dataset size Unknotted set size Accuracy TPR TNR
All 39412 19718 0.9848 0.9871 0.9826
SPOUT 7371 550 0.9905 0.9963 0.9182
TDD 612 24 0.9918 0.9966 0.8750
DUF 736 429 0.97905 0.9826 0.9767
AdoMet synthase 1794 240 0.9939 0.9968 0.9750
Carbonic anhydrase 1531 539 0.9556 0.9718 0.9258
UCH 477 125 0.9099 0.9631 0.7600
ATCase/OTCase 3799 3352 0.9992 0.9955 0.9997
ribosomal-mitochondrial 147 41 0.8912 0.9906 0.63412
membrane 8309 1577 0.9791 0.9895 0.9347
VIT 14347 12639 0.9873 0.9415 0.9935
biosynthesis of lantibiotics 392 286 0.9719 0.9811 0.9685
PGluconate dehydrogenase 1 0 1.0 1.0
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