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Journal:  Nature Communications 5, Article number: 4761 Author:  Sora Yang, Seunghyeon Kim, Yu Rim Lim, Cheolhee Kim, Hyeong Jeon An, Ji-Hyun Kim, Jaeyoung Sung & Nam Ki Lee DOI: https://doi.org/10.1038/ncomms5761 Cell-to-cell variation in gene expression, or noise, is a general phenomenon observed within cell populations. Transcription is known to be the key stage of gene […]

Journal:   Journal of Chemical Theory and Computation, 8 (4), 2012, pp 1415–1425 Author:   Yu Rim Lim †, Seong Jun Park †, Bo Jung Park †, Jianshu Cao *‡, Robert J. Silbey ‡, and Jaeyoung Sung *†§† Department of Chemistry, Chung-Ang University, Seoul 156-756, Korea‡ Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United

Journal:  Biophysical Journal, Volume 101, Issue 3, Pages 519–524 Author:  Seongeun Yang,† Jianshu Cao,‡ Robert J. Silbey,‡* and Jaeyoung Sung†*†Department of Chemistry, Chung-Ang University, Seoul, Korea; and ‡Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts DOI: https://doi.org/10.1016/j.bpj.2011.06.022 Fluctuating turnover times of a single enzyme become observable with the advent of modern cutting-edge, single enzyme experimental

Journal:  The Journal of Physical Chemistry B, 114 (30), 2010, pp 9840–9847 Author:  Won Jung , Seongeun Yang and Jaeyoung Sung *Department of Chemistry, Chung-Ang University, Seoul 156-756, Korea DOI: https://doi.org/10.1021/jp1001868 We report a robust quadratic relation between the inverse substrate concentration and the second moment, , of the catalytic turnover time distribution for enzyme reactions.

Journal: Chemical Physics Letters, Volume 415, Issues 1–3, Pages 10–14 Author:  Jaeyoung Sung(a,b) Robert J. Silbey(a)a. Department of Chemistry, Massachusetts Institute of Technology, Building 6-123, 77 Massachusetts Avenue, Cambridge, MA 02139-4307, USAb. Department of Chemistry, Chung-Ang University, Seoul 156-756, Republic of Korea DOI: https://doi.org/10.1016/j.cplett.2005.08.057 We present an exact form for counting statistics of single-molecule (SM) reaction