Chengdong Zhang

This study analyzes SARS-CoV-2 mutation patterns to show how immune system pressure drives mutations, particularly in non-structural and Spike proteins, to escape T and B cell immunity.

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.