Article

Pretrained protein language models choose between sequence novelty and structural completeness

2025-10-03

Abstract excerpt

Protein language models (PLMs) have gained increasing acceptance in tasks ranging from variant effect prediction in disease to optimization and de novo design of proteins with improved stability, target-binding affinity, and catalytic performance. Despite encouraging performance in such applications, little is understood as far as the degree to which PLM-generated sequences – putative novel protein outputs – reca...

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Literature Corpus work: 80f85ae9-237e-59a2-955f-3ff0526af517
DOI: 10.1101/2025.10.01.679905

Open publication

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