Sang-Mok Lee, Ph.D.
Affiliations: | 2023- | Center for Experimental Therapeutics and Reperfusion Injury (CETRI), Department of Anesthesiology, Perioperative and Pain Medicine | Brigham and Women's Hospital & Harvard Medical School |
Area:
Host-microbe interactions, Metabolomics, Systems biologyGoogle:
"Sang-Mok Lee"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Yun-Jaie Choi | grad student | Seoul National University | |
| Sungwhan Oh | post-doc | 2023- | Brigham and Women's Hospital & Harvard Medical School |
| Donghyuk Kim | post-doc | 2021-2023 | Ulsan National Institute of Science & Technology (Computational Biology Tree) |
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Publications
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| Lee SM, Le HT, Taizhanova A, et al. (2024) Experimental promoter identification of a foodborne pathogen subsp. serovar Typhimurium with near single base-pair resolution. Frontiers in Microbiology. 14: 1271121 |
| Ko S, Kim J, Lim J, et al. (2023) Blanket antimicrobial resistance gene database with structural information, BOARDS, provides insights on historical landscape of resistance prevalence and effects of mutations in enzyme structure. Msystems. e0094323 |
| Kim Y, Lee SM, Nong LK, et al. (2023) Characterization of bacteriophages, KP1 and KP12, with deep learning-based structure prediction. Frontiers in Microbiology. 13: 990910 |
| Bang I, Lee SM, Park S, et al. (2023) Deep-learning optimized DEOCSU suite provides an iterable pipeline for accurate ChIP-exo peak calling. Briefings in Bioinformatics |
| Park JY, Lee SM, Ebrahim A, et al. (2023) Model-driven experimental design workflow expands understanding of regulatory role of Nac in . Nar Genomics and Bioinformatics. 5: lqad006 |
| Lee SM, Park HT, Park S, et al. (2023) A Machine Learning Approach Reveals a Microbiota Signature for Infection with Mycobacterium avium subsp. in Cattle. Microbiology Spectrum. e0313422 |
| Park HT, Lee SM, Ko S, et al. (2022) Delineating transcriptional crosstalk between Mycobacterium avium subsp. paratuberculosis and human THP-1 cells at the early stage of infection via dual RNA-seq analysis. Veterinary Research. 53: 71 |