Hyesung Son
Seoul National University · 生化学・遺伝学・分子生物学
研究室紹介
Professor Hyesung Son's research lab specializes in computational virology and host-pathogen interactions, focusing on understanding the molecular mechanisms underlying viral host tropism, zoonotic transmission, and host range determination. The lab employs advanced bioinformatics, machine learning, and evolutionary sequence analysis to identify host-specific viral determinants, particularly through the study of viral protein sequences, receptor interactions, and codon usage patterns. Their work bridges virology, evolutionary biology, and computational biology to predict cross-species transmission risks and elucidate the genetic basis of viral pathogenicity across diverse hosts.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15ADVERTISEMENT RETURN TO ISSUEPREVCommunicationNEXTA New Type of Helix Pattern in Polyalanine PeptideHyeon S. Son, Byung Hee Hong, Chi-Wan Lee, Sunggoo Yun, and Kwang S. KimView Author Information National Creative Research Initiative Center for Superfunctional Materials, Department of Chemistry Division of Molecular and Life Sciences Pohang University of Science and Technology Hyojadong, Namgu, Pohang 790-784, Korea Cite this: J. Am. Chem. Soc. 2001, 123, 3, 514–515Publication Date (Web):Decembe
BACKGROUND: Viral zoonosis, the transmission of a virus from its primary vertebrate reservoir species to humans, requires ubiquitous cellular proteins known as receptor proteins. Zoonosis can occur not only through direct transmission from vertebrates to humans, but also through intermediate reservoirs or other environmental factors. Viruses can be categorized according to genotype (ssDNA, dsDNA, ssRNA and dsRNA viruses). Among them, the RNA viruses exhibit particularly high mutation rates and a
Studies of host factors that affect susceptibility to viral infections have led to the possibility of determining the risk of emerging infections in potential host organisms. In this study, we constructed a computational framework to estimate the probability of virus transmission between potential hosts based on the hypothesis that the major barrier to virus infection is differences in cell-receptor sequences among species. Information regarding host susceptibility to virus infection was collect
Background: The host tropism determinants of influenza virus, which cause changes in the host range and increase the likelihood of interaction with specific hosts, are critical for understanding the infection and propagation of the virus in diverse host species. Methods: Six types of protein sequences of influenza viral strains isolated from three classes of hosts (avian, human, and swine) were obtained. Random forest, naïve Bayes classification, and knearest neighbor algorithms were used for ho
BACKGROUND: Polyomaviruses (PyVs) have a wide range of hosts, from humans to fish, and their effects on hosts vary. The differences in the infection characteristics of PyV with respect to the host are assumed to be influenced by the biochemical function of the LT-Ag protein, which is related to the cytopathic effect and tumorigenesis mechanism via interaction with the host protein. METHODS: We carried out a comparative analysis of codon usage patterns of large T-antigens (LT-Ags) of PyVs isolate
BACKGROUND: Mycoviruses that infect fungi generally do not have a significant effect on the host and, instead, reduce the toxicity of the fungi. However, recent studies have shown that polymycovirus-1, a mycovirus that infects Aspergillus species known to cause disease in humans, is related to increased virulence of the fungus. METHODS: Comparative analysis was performed of RdRP gene codon usage patterns of Aspergillus fumigatus polymycovirus-1 (AfuPmV-1) and other mycoviruses known to infect As
OBJECTIVES: Influenza outbreaks of varying size occur every year, but during the COVID-19 pandemic, many countries experienced influenza at lower levels. However, following the relaxation of COVID-19 prevention measures in 2022, the incidence of influenza began to increase gradually. Thus, this study compared the occurrence of influenza from week 36 of 2017, before the COVID-19 outbreak, until 2023. METHODS: The analysis was conducted using influenza-like illness occurrence data available from t
Since the first pandemic outbreak of avian influenza A virus (H5N1 subtype) in 1997, the National Center for Biotechnology Information (NCBI) has provided a large number of influenza virus sequences with well-organized annotations. Using the time-series sequences of influenza A viruses, we developed a simulation tool for influenza virus, named SimFlu, to predict possible future variants of influenza viruses. SimFlu can create variants from a seed nucleotide sequence of influenza A virus using th
Prion diseases, including ovine scrapie, bovine spongiform encephalopathy (BSE), human kuru and Creutzfeldt–Jakob disease (CJD), originate from a conformational change of the normal cellular prion protein (PrPC) into abnormal protease-resistant prion protein (PrPSc). There is concern regarding these prion diseases because of the possibility of their zoonotic infections across species. Mutations and polymorphisms of prion sequences may influence prion-disease susceptibility through the modified e
Novel influenza A (H1N1) is a newly emerged flu virus which was first detected in April, 2009. Unlike the avian influenza (H5N1), this virus has been known to be able to spread from human to human directly. Although it is uncertain that how severe this novel H1N1 virus will be in terms of human illness, illness may be more widespread because most people will not have immunity to it. In this study, we compared the codon usage bias between the novel H1N1 influenza A viruses and other viruses such