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Decoding CRISPR-Cas PAM recognition with UniDesign
DOI:10.1093/bib/bbad133.png)
摘要
En 中文
The critical first step in Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)associated (CRISPRCas) protein-mediated gene editing is recognizing a preferred protospacer adjacent motif (PAM) on target DNAs by the proteins PAM-interacting amino acids (PIAAs). Thus, accurate computational modeling of PAM recognition is useful in assisting CRISPRCas engineering to relax or tighten PAM requirements for subsequent applications. Here, we describe a universal computational protein design framework (UniDesign) for designing proteinnucleic acid interactions. As a proof of concept, we applied UniDesign to decode the PAMPIAA interactions for eight Cas9 and two Cas12a proteins. We show that, given native PIAAs, the UniDesign-predicted PAMs are largely identical to the natural PAMs of all Cas proteins. In turn, given natural PAMs, the computationally redesigned PIAA residues largely recapitulated the native PIAAs (74% and 86% in terms of identity and similarity, respectively). These results demonstrate that UniDesign faithfully captures the mutual preference between natural PAMs and native PIAAs, suggesting it is a useful tool for engineering CRISPRCas and other nucleic acid-interacting proteins. UniDesign is open-sourced at https://github.com/tommyhuangthu/UniDesign.
Keyword:
CRISPR-Cas
PAM
gene editing
computational protein design
UniDesign
期刊
IF:
7.7
论文数:
5.8K
被引数:
2.7W
机构
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