Sequence-independent protein domain detection and classification with PRISM
Tan, A.; Seedorf, H.
Show abstract
The explosion of predicted protein structures has revealed countless novel domain families. However, gold-standard segmentation tools like Chainsaw and Merizo are trained on rapidly obsoleting CATH databases, lack automatic domain classification, and cannot be easily fine-tuned without deep learning expertise. We introduce PRISM, a unified framework enabling sequence-independent, one-shot fine-tuning for simultaneous domain segmentation and classification, bypassing traditional constraints to accurately resolve complex, novel protein architectures.
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