Linghui Hou

The paper identifies type II-C Cas9 orthologs with diverse PAM recognition capabilities, enhancing allele-specific genome editing.

BEdeepon predicts base editor efficiencies and outcome sequences using deep learning models trained on high-throughput screening data.

BEdeepoff predicts off-target editing efficiencies for ABE and CBE base editors using deep learning models trained on high-throughput screening data.

The paper identifies and engineers a compact SlugCas9 variant with broad targeting range, high specificity, and activity for genome editing.

This study identifies multiple noncanonical PAMs recognized by SpCas9 in human cells, improving understanding of off-target mutation risks.