Hui Kwon Kim
Hui Kwon Kim
Verified email at skku.edu
Title
Cited by
Cited by
Year
In vivo high-throughput profiling of CRISPR–Cpf1 activity
HK Kim, M Song, J Lee, AV Menon, S Jung, YM Kang, JW Choi, E Woo, ...
Nature methods 14 (2), 153-159, 2017
2042017
Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity
HK Kim, S Min, M Song, S Jung, JW Choi, Y Kim, S Lee, S Yoon, HH Kim
Nature biotechnology 36 (3), 239, 2018
1232018
The effects of combined dietary probiotics Lactococcus lactis BFE920 and Lactobacillus plantarum FGL0001 on innate immunity and disease resistance in olive flounder …
BR Beck, D Kim, J Jeon, SM Lee, HK Kim, OJ Kim, JI Lee, BS Suh, HK Do, ...
Fish & shellfish immunology 42 (1), 177-183, 2015
1052015
High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells
HK Kim, S Lee, Y Kim, J Park, S Min, JW Choi, TP Huang, S Yoon, DR Liu, ...
Nature Biomedical Engineering 4 (1), 111-124, 2020
252020
SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance
HK Kim, Y Kim, S Lee, S Min, JY Bae, JW Choi, J Park, D Jung, S Yoon, ...
Science advances 5 (11), eaax9249, 2019
222019
Prediction of the sequence-specific cleavage activity of Cas9 variants
N Kim, HK Kim, S Lee, JH Seo, JW Choi, J Park, S Min, S Yoon, SR Cho, ...
Nature Biotechnology 38 (11), 1328-1336, 2020
182020
Predicting the efficiency of prime editing guide RNAs in human cells
HK Kim, G Yu, J Park, S Min, S Lee, S Yoon, HH Kim
Nature Biotechnology 39 (2), 198-206, 2021
172021
Sequence-specific prediction of the efficiencies of adenine and cytosine base editors
M Song, HK Kim, S Lee, Y Kim, SY Seo, J Park, JW Choi, H Jang, JH Shin, ...
Nature Biotechnology 38 (9), 1037-1043, 2020
102020
Recording of elapsed time and temporal information about biological events using Cas9
J Park, JM Lim, I Jung, SJ Heo, J Park, Y Chang, HK Kim, D Jung, JH Yu, ...
Cell 184 (4), 1047-1063. e23, 2021
2021
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