Publications

*co-first authors

#co-corresponding authors

Yoo, G*., Kim, H.K*., Park, J., Kwak, H., Cheong, Y., Kim, D., Kim, Jiyun., Kim, Jisung., Kim, H.H. Prediction of efficiencies for diverse prime editing systems in multiple cell types. Cell, doi.org/10.1016/j.cell.2023.03.034, (2023).
Kim, H.K*., Yoo, G*., Park, J., Min, S., Lee, S., Yoon, S., Kim, H.H. Predicting the efficiency of prime-editing guide RNAs in human cells. Nature Biotechnology, 39(2), 198-206, (2021).
Park, J., Lim, J.M., Jung, I., Heo, S.J., Park, J., Chang, Y., Kim, H.K., Jung, D., Yu, J.H., Min, S., Yoon, S., Cho, SR., Park, T., Kim, H.H. Recording of elapsed time and temporal information about biological events using Cas9. Cell, 184(4), 1047-1063, (2021)

Kim, N*., Kim, H.K*., Lee, S., Seo, J.H., Choi, J.W., Park, J., Min, S., Yoon, S., Cho, S-R., Kim, H.H. Prediction of the sequence-specific cleavage activity of Cas9 variants. Nature Biotechnology, 38(11), 1328-1336, (2020).
Song, M*., Kim, H.K*., Lee, S*., Kim, Y., Seo, S.Y., Park, J., Choi, J.W., Jang, H., Shin, J.H., Min, S., Quan, Z., Kim, J.H., Kang, H.C., Yoon, S., Kim, H.H. Sequence-specific prediction of the efficiencies of adenine and cytosine base editors. Nature Biotechnology, 38(9), 1037-1043.
Kim, H.K., Lee, S., Kim, Y., Park, J., Min, S., Choi, J.W., Huang, T.P., Yoon, S., Liu, D.R., Kim, H.H. High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells. Nature Biomedical Engineering, 4(1), 111-124, (2020)
Kim, H.K*., Kim, Y*., Lee, S., Min, S., Bae, J.Y., Choi, J.W., Park, J., Jung, D., Yoon, S., Kim, H.H. SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with high generalization performance. Science Advances, 5(11), eaax9249, (2019)
Kim, H.K*., Min, S*., Song, M., Jung, S., Choi, J.W., Kim, Y., Lee, S., Yoon, S#., Kim, H.H#. Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity. Nature Biotechnology, 36(3), 239-241, (2018)
Kim, H.K*., Song, M*., Lee, J., Menon, A.V., Jung, S., Kang, Y.M., Choi, J.W., Woo, E., Koh, H.C., Nam, J.W., Kim, H.H. In vivo high-throughput profiling of CRISPR-Cpf1 activity. Nature Methods, 14(2), 153-159, (2017).