• Title/Summary/Keyword: Target protein

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Modulation of the Metal(loid) Specificity of Whole-Cell Bioreporters by Genetic Engineering of ZntR Metal-Binding Loops

  • Kim, Hyojin;Jang, Geupil;Kim, Bong-Gyu;Yoon, Youngdae
    • Journal of Microbiology and Biotechnology
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    • v.30 no.5
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    • pp.681-688
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    • 2020
  • Bacterial cell-based biosensors, or whole-cell bioreporters (WCBs), are an alternative tool for the quantification of hazardous materials. Most WCBs share similar working mechanisms. In brief, the recognition of a target by sensing domains induces a biological event, such as changes in protein conformation or gene expression, providing a basis for quantification. WCBs targeting heavy metal(loid)s employ metalloregulators as sensing domains and control the expression of genes in the presence of target metal(loid) ions, but the diversity of targets, specificity, and sensitivity of these WCBs are limited. In this study, we genetically engineered the metal-binding loop (MBL) of ZntR, which controls the znt-operon in Escherichia coli. In the MBL of ZntR, three Cys sites interact with metal ions. Based on the crystal structure of ZntR, MBL sequences were modified by site-directed mutagenesis. As a result, the metal-sensing properties of WCBs differed depending on amino acid sequences and the new selectivity to Cr or Pb was observed. Although there is room for improvement, our results support the use of currently available WCBs as a platform to generate new WCBs to target other environmental pollutants including metal(loid)s.

Antioxidant Activity and Its Mechanism of Paeonia lactiflora Pall Extract

  • Heo, Jee-In;Kim, Jeong-Hyeon;Lee, Jeong-Min;Kim, Sung-Chan;Park, Jae-Bong;Kim, Jaebong;Lee, Jae-Yong
    • Natural Product Sciences
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    • v.19 no.1
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    • pp.49-53
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    • 2013
  • Paeonia lactiflora Pall (PL) has been used as a traditional herbal medicine in China, Korea, and Japan for more 1,200 years. PL has reported to have antioxidant activity and protective effect of cells from oxidative stress, although the mechanism has not been verified. FOXO3a is a transcription factor that binds to its target gene's consensus FOXO binding site. FOXO3a protein modulates the various biological functions including cell cycle control, apoptosis, DNA repair, and ROS detoxification. Therefore, FOXO3a activity is associated with cancer, aging, diabetes, infertility, neurodegeneration, and immune system dysfunction. Here we found that FOXO3a was activated by PL extract. Transcriptional target genes such as MnSOD, p27, and GADD45 were activated by PL extract. Protein levels of MnSOD and catalase were increased, consequently, ROS level was reduced in HEF cells by PL extract. These findings suggest that PL extract has an antioxidant activity through FOXO activation and thereby activation of FOXO target genes, MnSOD and catalase.

AMP-activated protein kinase: An emerging target for ginseng

  • Jeong, Kyong Ju;Kim, Go Woon;Chung, Sung Hyun
    • Journal of Ginseng Research
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    • v.38 no.2
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    • pp.83-88
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    • 2014
  • The adenosine monophosphate (AMP)-activated protein kinase (AMPK) is a key sensor of cellular energy. Once activated, it switches on catabolic pathways generating adenosine triphosphate (ATP), while switching off biosynthetic pathways consuming ATP. Pharmacological activation of AMPK by metformin holds a therapeutic potential to reverse metabolic abnormalities such as type 2 diabetes and nonalcoholic fatty liver disease. In addition, altered metabolism of tumor cells is widely recognized and AMPK is a potential target for cancer prevention and/or treatment. Panax ginseng is known to be useful for treatment and/or prevention of cancer and metabolic diseases including diabetes, hyperlipidemia, and obesity. In this review, we discuss the ginseng extracts and ginsenosides that activate AMPK, we clarify the various mechanisms by which they achieve this, and we discuss the evidence that shows that ginseng or ginsenosides might be useful in the treatment and/or prevention of metabolic diseases and cancer.

On the Crystal Structure of a human Cell Division Cycle Controlling Protein Kinase(CDK2) and Structure-Based Drug Design

  • Kim, Sung-Hou-
    • Proceedings of the Korean Society of Applied Pharmacology
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    • 1994.04a
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    • pp.41-49
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    • 1994
  • The most common conventional method of discovering a drug involves a massive screening of a large number of compounds in chemical libraries or in the extracts from natural sources such as plants or microbial broths followed by chemical modification of one or more active compounds to improve their properties as a drug. When the three-dimensional structure of the target molecule for which the drug is searched is known the drug discovery process can be significantly simplified, This is especially true when the three-dimensional structure of a complex between the target and a lead compound is known. In this lecture our experience on the structure-based drug design for human CDK2(cyclin-dependent protein kinase 2) will be discussed with special emphasis on the strength and weakness of this approach of drug discovery. The regulation of the activity of CDK2 plays an important role in the cell proliferation of normal and cancer cells.

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Functional roles of CTCF in breast cancer

  • Oh, Sumin;Oh, Chaeun;Yoo, Kyung Hyun
    • BMB Reports
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    • v.50 no.9
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    • pp.445-453
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    • 2017
  • CTCF, Zinc-finger protein, has been identified as a multifunctional transcription factor that regulates gene expression through various mechanisms, including recruitment of other co-activators and binding to promoter regions of target genes. Furthermore, it has been proposed to be an insulator protein that contributes to the establishment of functional three-dimensional chromatin structures. It can disrupt transcription through blocking the connection between an enhancer and a promoter. Previous studies revealed that the onset of various diseases, including breast cancer, could be attributed to the aberrant expression of CTCF itself or one or more of its target genes. In this review, we will describe molecular dysfunction involving CTCF that induces tumorigenesis and summarize the functional roles of CTCF in breast cancer.

Chemically Induced Cellular Proteolysis: An Emerging Therapeutic Strategy for Undruggable Targets

  • Moon, Seonghyeon;Lee, Byung-Hoon
    • Molecules and Cells
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    • v.41 no.11
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    • pp.933-942
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    • 2018
  • Traditionally, small-molecule or antibody-based therapies against human diseases have been designed to inhibit the enzymatic activity or compete for the ligand binding sites of pathological target proteins. Despite its demonstrated effectiveness, such as in cancer treatment, this approach is often limited by recurring drug resistance. More importantly, not all molecular targets are enzymes or receptors with druggable 'hot spots' that can be directly occupied by active site-directed inhibitors. Recently, a promising new paradigm has been created, in which small-molecule chemicals harness the naturally occurring protein quality control machinery of the ubiquitin-proteasome system to specifically eradicate disease-causing proteins in cells. Such 'chemically induced protein degradation' may provide unprecedented opportunities for targeting proteins that are inherently undruggable, such as structural scaffolds and other non-enzymatic molecules, for therapeutic purposes. This review focuses on surveying recent progress in developing E3-guided proteolysis-targeting chimeras (PROTACs) and small-molecule chemical modulators of deubiquitinating enzymes upstream of or on the proteasome.

Chemical kinomics: a powerful strategy for target deconvolution

  • Kim, Do-Hee;Sim, Tae-Bo
    • BMB Reports
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    • v.43 no.11
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    • pp.711-719
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    • 2010
  • Kinomics is an emerging and promising approach for deciphering kinomes. Chemical kinomics is a discipline of chemical genomics that is also referred to as "chemogenomics", which is derived from chemistry and biology. Chemical kinomics has become a powerful approach to decipher complicated phosphorylation-based cellular signaling networks with the aid of small molecules that modulate kinase functions. Moreover, chemical kinomics has played a pivotal role in the field of kinase drug discovery as it enables identification of new molecular targets of small molecule kinase modulators and/or exploitation of novel functions of known kinases and has also provided novel chemical entities as hit/lead compounds. In this short review, contemporary chemical kinomics technologies such as activity-based protein profiling, T7 kinasetagged phages, kinobeads, three-hybrid systems, fluorescenttagged kinase binding assays, and chemical genomic profiling are discussed along with a novel allosteric Bcr-Abl kinase inhibitor (GNF-2/GNF-5) as a successful application of chemical kinomics approaches.

Mammalian target of rapamycin inhibitors for treatment in tuberous sclerosis

  • Kim, Won-Seop
    • Clinical and Experimental Pediatrics
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    • v.54 no.6
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    • pp.241-245
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    • 2011
  • Tuberous sclerosis complex (TSC) is a genetic multisystem disorder that results from mutations in the TSC1 or TSC2 genes, and is associated with hamartomas in several organs, including subependymal giant cell tumors. The neurological manifestations of TSC are particularly challenging and include infantile spasms, intractable epilepsy, cognitive disabilities, and autism. The TSC1- and TSC2-encoded proteins modulate cell function via the mammalian target of rapamycin (mTOR) signaling cascade, and are key factors in the regulation of cell growth and proliferation. The mTOR pathway provides an intersection for an intricate network of protein cascades that respond to cellular nutrition, energy levels, and growth factor stimulation. In the brain, TSC1 and TSC2 have been implicated in cell body size, dendritic arborization, axonal outgrowth and targeting, neuronal migration, cortical lamination, and spine formation. The mTOR pathway represents a logical candidate for drug targeting, because mTOR regulates multiple cellular functions that may contribute to epileptogenesis, including protein synthesis, cell growth and proliferation, and synaptic plasticity. Antagonism of the mTOR pathway with rapamycin and related compounds may provide new therapeutic options for TSC patients.

The Structure-Based Three-Dimensional Pharmacophore Models for Arabidopsis thaliana HPPD inhibitors as Herbicide

  • Cho, Jae Eun;Kim, Jun Tae;Kim, Eunae;Ko, Young Kwan;Kang, Nam Sook
    • Bulletin of the Korean Chemical Society
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    • v.34 no.10
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    • pp.2909-2914
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    • 2013
  • p-Hydroxyphenylpyruvate dioxygenase (HPPD) is a potent herbicide target that is in current use. In this study, we developed a predictive pharmacophore model that uses known HPPD inhibitors based on a theoretically constructed HPPD homology model. The pharmacophore model derived from the three-dimensional (3D) structure of a target protein provides helpful information for analyzing protein-ligand interactions, leading to further improvement of the ligand binding affinity.

Extraction of specific common genetic network of side effect pair, and prediction of side effects for a drug based on PPI network

  • Hwang, Youhyeon;Oh, Min;Yoon, Youngmi
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.1
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    • pp.115-123
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    • 2016
  • In this study, we collect various side effect pairs which are appeared frequently at many drugs, and select side effect pairs that have higher severity. For every selected side effect pair, we extract common genetic networks which are shared by side effects' genes and drugs' target genes based on PPI(Protein-Protein Interaction) network. For this work, firstly, we gather drug related data, side effect data and PPI data. Secondly, for extracting common genetic network, we find shortest paths between drug target genes and side effect genes based on PPI network, and integrate these shortest paths. Thirdly, we develop a classification model which uses this common genetic network as a classifier. We calculate similarity score between the common genetic network and genetic network of a drug for classifying the drug. Lastly, we validate our classification model by means of AUC(Area Under the Curve) value.