Ewha Womans University · Biochemistry, Genetics and Molecular Biology
Professor Sun Choi's research lab specializes in computational and systems biology-driven drug discovery, with a focus on molecular dynamics simulations, allosteric modulation in GPCRs, and epigenetic drug targeting. The lab develops advanced in silico methods—such as induced-fit docking and network analysis of protein dynamics—to elucidate mechanisms of protein-ligand interactions and signal transduction. Their work bridges computational modeling with translational applications, including nanotheranostics for cancer and novel inhibitors for DNMTs and capsaicin analogues. The lab emphasizes the integration of big data, artificial intelligence, and structural bioinformatics to accelerate rational drug design.
Figures are computed from collected data and may differ slightly.
Albumin is a promising candidate as a biomarker for potential disease diagnostics and has been extensively used as a drug delivery carrier for decades. In these two directions, many albumin-detecting probes and exogenous albumin-based nanocomposite delivery systems have been developed. However, there are only a few cases demonstrating the specific interactions of exogenous probes with albumin in vivo, and nanocomposite delivery systems usually suffer from tedious fabrication processes and potent
Capsaicin is the most predominant and naturally occurring alkamide found in Capsicum fruits. Since its discovery in the 19th century, the therapeutic roles of capsaicin have been well characterized. The potential applications of capsaicin range from food flavorings to therapeutics. Indeed, capsaicin and few of its analogues have featured in clinical research covered by more than a thousand patents. Previous records suggest pleiotropic pharmacological activities of capsaicin such as an analgesic,
Molecular dynamics (MD) simulation is a rigorous theoretical tool that when used efficiently could provide reliable answers to questions pertaining to the structure-function relationship of proteins. Data collated from protein dynamics can be translated into useful statistics that can be exploited to sieve thermodynamics and kinetics crucial for the elucidation of mechanisms responsible for the modulation of biological processes such as protein-ligand binding and protein-protein association. Con
There have been numerous advances in the development of computational and statistical methods and applications of big data and artificial intelligence (AI) techniques for computer-aided drug design (CADD). Drug design is a costly and laborious process considering the biological complexity of diseases. To effectively and efficiently design and develop a new drug, CADD can be used to apply cutting-edge techniques to various limitations in the drug design field. Data pre-processing approaches, whic
DNA methylation is an epigenetic modification that regulates gene expression by DNA methyltransferases (DNMTs). Inhibition of DNMTs is a promising approach for cancer therapy. Recently, novel classes of the quinolone-based compound, SGI-1027, and RG108-procainamide conjugates, CBC12, have been identified as potent DNMT inhibitors. In this work, we report comprehensive studies using induced-fit docking of SGI-1027 and CBC12 with human DNMT1 and DNMT3A. The docking was performed in the C-terminal
G-protein coupled receptors (GPCRs), a major gatekeeper of extracellular signals on plasma membrane, are unarguably one of the most important therapeutic targets. Given the recent discoveries of allosteric modulations, an allosteric wiring diagram of intramolecular signal transductions would be of great use to glean the mechanism of receptor regulation. Here, by evaluating betweenness centrality (CB ) of each residue, we calculate maps of information flow in GPCRs and identify key residues for s
Cancer is considered as one of the world's leading causes of morbidity and mortality. Over the past four decades, spectacular advances in molecular and cellular biology have led to major breakthroughs in the field of cancer research. However, the design and development of anticancer drugs prove to be an intricate, expensive, and time-consuming process. To overcome these limitations and manage large amounts of emerging data, computer- aided drug discovery/design (CADD) methods have been developed
Dynamics and functions of G-protein coupled receptors (GPCRs) are accurately regulated by the type of ligands that bind to the orthosteric or allosteric binding sites. To glean the structural and dynamical origin of ligand-dependent modulation of GPCR activity, we performed total ~ 5 μsec molecular dynamics simulations of A2A adenosine receptor (A2AAR) in its apo, antagonist-bound, and agonist-bound forms in an explicit water and membrane environment, and examined the corresponding dynamics and
The antiepilepsy drug vigabatrin (1, 4-aminohex-5-enoic acid, gamma-vinylGABA) is known to be a mechanism-based inactivator of the pyridoxal phosphate (PLP)-dependent enzyme gamma-aminobutyric acid aminotransferase (GABA-AT). Inactivation has been shown to proceed by two divergent mechanisms (Nanavati, S. M.; Silverman, R. B. J. Am. Chem. Soc. 1991, 113, 9341-9349). The major pathway involves gamma-proton removal, tautomerization into the PLP ring, followed by Michael addition of an active site
Four cyclohexene analogues of gamma-aminobutyric acid (GABA) and beta-alanine were designed as conformationally rigid analogues of the epilepsy and drug addiction drug vigabatrin and as potential mechanism-based inactivators of gamma-aminobutyric acid aminotransferase (GABA-AT). The corresponding cyclopentene analogues were previously reported to be inhibitors, but not inactivators, of GABA-AT (Qiu, J.; Pingsterhaus, J.; Silverman, R. B. J. Med. Chem. 1999, 42, 4725-4728). cis-3-Aminocyclohex-4-
Alzheimer's disease (AD) is an incurable, progressive neurodegenerative disease whose pathogenesis cannot be defined by one single element but consists of various factors; thus, there is a call for alternative approaches to tackle the multifaceted aspects of AD. Among the potential alternative targets, we aim to focus on glutaminyl cyclase (QC), which reduces the toxic pyroform of β-amyloid in the brains of AD patients. On the basis of a putative active conformation of the prototype inhibitor <b
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