Framework for network modularization and Bayesian network analysis to investigate the perturbed metabolic network. - Hyun Uk Kim; Tae Kim; Sang Lee (BMC Syst. Biol., 2011)

Flux variability scanning based on enforced objective flux for identifying gene amplification targets. - Jong Myoung Park; Hye Min Park; Won Jun Kim; Hyun Uk Kim; Tae Yong Kim; Sang Yup Lee (BMC Syst. Biol., 2012)

antiSMASH 3.0 - a comprehensive resource for the genome mining of biosynthetic gene clusters. - Tilmann Weber; Kai Blin; Srikanth Duddela; Daniel Krug; Hyun Uk Kim; Robert E. Bruccoleri; Sang Yup Lee; Michael A. Fischbach; Rolf Müller 002; Wolfgang Wohlleben; Rainer Breitling; Eriko Takano; et al. (Nucleic Acids Res., 2015)

antiSMASH 4.0 - improvements in chemistry prediction and gene cluster boundary identification. - Kai Blin; Thomas Wolf 001; Marc G. Chevrette; Xiaowen Lu; Christopher J. Schwalen; Satria A. Kautsar; Hernando G. Suarez Duran; Emmanuel L. C. de los Santos; Hyun Uk Kim; Mariana Nave; Jeroen S. Dickschat; Douglas A. Mitchell; et al. (Nucleic Acids Res., 2017)

Designing Novel Functional Peptides by Manipulating a Temperature in the Softmax Function Coupled with Variational Autoencoder. - Shuan Chen; Hyun Uk Kim (IEEE BigData, 2019)

Recent development of antiSMASH and other computational approaches to mine secondary metabolite biosynthetic gene clusters. - Kai Blin; Hyun Uk Kim; Marnix H. Medema; Tilmann Weber (Briefings Bioinform., 2019)

Predicting the physiological effects of multiple drugs using electronic health record. - Junhyeok Jeon; Eujin Hong; Jong-Yeup Kim; Suehyun Lee; Hyun Uk Kim (Comput. Biol. Medicine, 2025)