753-Customizing CRISPR PAM Specificity with Language Models

The paper describes the development of Protein2PAM, a deep learning framework designed to predict and engineer the protospacer-adjacent motif (PAM) specificity of CRISPR–Cas enzymes. By training on a massive dataset of over 45,000 sequences known as the CRISPR–Cas Atlas, the model identifies critical protein-DNA interactions without requiring complex structural data. Researchers used this tool to ...去小宇宙查看完整单集简介
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