Kim HH - Search Results

1

Prediction of efficiencies for diverse prime editing systems in multiple cell types.

Yu G, Kim HK, Park J, Kwak H, Cheong Y, Kim D, Kim J, Kim J, Kim HH. Yu G, et al. Among authors: kim hh, kim hk, kim d, kim j. Cell. 2023 May 11;186(10):2256-2272.e23. doi: 10.1016/j.cell.2023.03.034. Epub 2023 Apr 28. Cell. 2023. PMID: 37119812

2

In vivo high-throughput profiling of CRISPR-Cpf1 activity.

Kim HK, Song M, Lee J, Menon AV, Jung S, Kang YM, Choi JW, Woo E, Koh HC, Nam JW, Kim H. Kim HK, et al. Nat Methods. 2017 Feb;14(2):153-159. doi: 10.1038/nmeth.4104. Epub 2016 Dec 19. Nat Methods. 2017. PMID: 27992409

3

Deep learning improves prediction of CRISPR-Cpf1 guide RNA activity.

Kim HK, Min S, Song M, Jung S, Choi JW, Kim Y, Lee S, Yoon S, Kim HH. Kim HK, et al. Among authors: kim hh, kim y. Nat Biotechnol. 2018 Mar;36(3):239-241. doi: 10.1038/nbt.4061. Epub 2018 Jan 29. Nat Biotechnol. 2018. PMID: 29431740

4

SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with high generalization performance.

Kim HK, Kim Y, Lee S, Min S, Bae JY, Choi JW, Park J, Jung D, Yoon S, Kim HH. Kim HK, et al. Among authors: kim hh, kim y. Sci Adv. 2019 Nov 6;5(11):eaax9249. doi: 10.1126/sciadv.aax9249. eCollection 2019 Nov. Sci Adv. 2019. PMID: 31723604 Free PMC article.

5

High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells.

Kim HK, Lee S, Kim Y, Park J, Min S, Choi JW, Huang TP, Yoon S, Liu DR, Kim HH. Kim HK, et al. Among authors: kim hh, kim y. Nat Biomed Eng. 2020 Jan;4(1):111-124. doi: 10.1038/s41551-019-0505-1. Epub 2020 Jan 14. Nat Biomed Eng. 2020. PMID: 31937939

6

Prediction of the sequence-specific cleavage activity of Cas9 variants.

Kim N, Kim HK, Lee S, Seo JH, Choi JW, Park J, Min S, Yoon S, Cho SR, Kim HH. Kim N, et al. Among authors: kim hh, kim hk. Nat Biotechnol. 2020 Nov;38(11):1328-1336. doi: 10.1038/s41587-020-0537-9. Epub 2020 Jun 8. Nat Biotechnol. 2020. PMID: 32514125

7

Sequence-specific prediction of the efficiencies of adenine and cytosine base editors.

Song M, Kim HK, Lee S, Kim Y, Seo SY, Park J, Choi JW, Jang H, Shin JH, Min S, Quan Z, Kim JH, Kang HC, Yoon S, Kim HH. Song M, et al. Among authors: kim hh, kim hk, kim y, kim jh. Nat Biotechnol. 2020 Sep;38(9):1037-1043. doi: 10.1038/s41587-020-0573-5. Epub 2020 Jul 6. Nat Biotechnol. 2020. PMID: 32632303

8

Predicting the efficiency of prime editing guide RNAs in human cells.

Kim HK, Yu G, Park J, Min S, Lee S, Yoon S, Kim HH. Kim HK, et al. Among authors: kim hh. Nat Biotechnol. 2021 Feb;39(2):198-206. doi: 10.1038/s41587-020-0677-y. Epub 2020 Sep 21. Nat Biotechnol. 2021. PMID: 32958957

9

Recording of elapsed time and temporal information about biological events using Cas9.

Park J, Lim JM, Jung I, Heo SJ, Park J, Chang Y, Kim HK, Jung D, Yu JH, Min S, Yoon S, Cho SR, Park T, Kim HH. Park J, et al. Among authors: kim hh, kim hk. Cell. 2021 Feb 18;184(4):1047-1063.e23. doi: 10.1016/j.cell.2021.01.014. Epub 2021 Feb 3. Cell. 2021. PMID: 33539780 Free article.

10

Application of prime editing to the correction of mutations and phenotypes in adult mice with liver and eye diseases.

Jang H, Jo DH, Cho CS, Shin JH, Seo JH, Yu G, Gopalappa R, Kim D, Cho SR, Kim JH, Kim HH. Jang H, et al. Among authors: kim hh, kim d, kim jh. Nat Biomed Eng. 2022 Feb;6(2):181-194. doi: 10.1038/s41551-021-00788-9. Epub 2021 Aug 26. Nat Biomed Eng. 2022. PMID: 34446856

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