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UnZipro is presented, an efficient, scalable, and generalizable framework for zero-shot, in silico protein evolution, that integrates a compact, pre-trained inverse folding model with meta-learning to derive family-specific fitness landscapes.
PlantPTM, an integrated deep learning framework for predicting nine PTM types in plants demonstrates robust generalizability across a wide range of PTM types and plant species and achieves state-of-the-art performance.
This study developed template‐jumping prime editing (TJ‐PE), a recently reported PE strategy for large targeted insertion, as an efficient tool for homologous replacement with DNA fragments ranging from dozens to hundreds of base pairs, and using TJ‐PE, replaced genomic fragments of up to 340 bp with homologous fragmen...
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