• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.258-270
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• 2022

Cancer has become a common disease for the past two decades throughout the globe and there is significant increase of cancer among women. Breast cancer and ovarian cancers are more prevalent among women. Majority of the patients approach the physicians only during their final stage of the disease. Early diagnosis of cancer remains a great challenge for the researchers. Although several drugs are being synthesized very often, their multi-benefits are less investigated. With millions of drugs synthesized and their data are accessible through open repositories. Drug repurposing can be done using machine learning techniques. We propose a feature selection technique in this paper, which is novel that generates multiple populations for the grey wolf algorithm and classifies breast cancer drugs efficiently. Leukemia drug dataset is also investigated and Multilayer perceptron achieved 96% prediction accuracy. Three supervised machine learning algorithms namely Random Forest classifier, Multilayer Perceptron and Support Vector Machine models were applied and Multilayer perceptron had higher accuracy rate of 97.7% for breast cancer drug classification.

• Biomolecules & Therapeutics
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• v.28 no.5
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• pp.437-442
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• 2020

Activation of the NLRP3 inflammasome is critical for host defense as well as the progression of inflammatory diseases through the production of the proinflammatory cytokine IL-1β, which is cleaved by active caspase-1. It has been reported that overactivation of the NLRP3 inflammasome contributes to the development and pathology of acne vulgaris. Therefore, inhibiting activation of the NLRP3 inflammasome may provide a new therapeutic strategy for acne vulgaris. In this study, we investigated whether auranofin, an anti-rheumatoid arthritis agent, inhibited NLRP3 inflammasome activation, thereby effectively treating acne vulgaris. Auranofin suppressed NLRP3 inflammasome activation induced by Propionibacterium acnes, reducing the production of IL-1β in primary mouse macrophages and human sebocytes. In a P. acnes-induced acne mouse model, injection of P. acnes into the ears of mice induced acne symptoms such as redness, swelling, and neutrophil infiltration. Topical application of auranofin (0.5 or 1%) to mouse ears significantly reduced the inflammatory symptoms of acne vulgaris induced by P. acnes injection. Topical application of auranofin led to the downregulation of the NLRP3 inflammasome activated by P. acnes in mouse ear skin. These results show that auranofin inhibits the NLRP3 inflammasome, the activation of which is associated with acne symptoms. The results further suggest that topical application of auranofin could be a new therapeutic strategy for treating acne vulgaris by targeting the NLRP3 inflammasome.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.713-719
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• 2007

한 미디어를 다른 미디어에서 표상하는 것을 재매개 remediation (이재현, 2006)라고 한다. 보통 재매개는 원 소스 멀티 유즈 혹은 재목적화 repurposing로 알려져 있다. 한 미디어가 다른 미디어를 통해 표상된다는 사실은 한가지 컨텐츠를 다양한 창구 혹은 채널을 통해 내보냄으로써 해당 컨텐츠의 가치를 극대화한다는 경영학적 의미뿐만 아니라, 미학적 사회학적 의미를 가진다. 특정한 미디어를 통해 보여지는 컨텐츠가 이질적인 다른 미디어를 통해 표상되면, 컨텐츠 뿐만 아니라 표상되는 미디어도 쉽게 인식하게 되면서 미학적 의미를 갖는다. 가령 액자 속에 들어있는 풍경화를 보는 순간, 액자라는 창을 넘어서 그림이 표상하는 풍경을 보려고 하지만, 액자 속의 퐁경화를 텔레비전을 통해 보게 되면, 시청자는 그림을 둘러싼 액자 혹은 그 그림이 위치한 미술관을 인식하기 마련이다. 또한 새롭게 등장하는 미디어와 그 종사자는 기존 미디어 혹은 종사자들의 사회적 지위를 표상하면서 기존 미디어의 지위를 이어받으려고 하면서 사회적 의미를 갖는다. 컴퓨터 게임이라는 미디어가 텔레비전을 통해 방송되는 e-sports는 디지털 컨텐츠의 전형적 재매개의 예가 될 수 있다. e-sports중계는 컴퓨터 게임 화면만을 보여주지 않는다. 게이머의 표정, 게임의 제반 정보를 나타내는 게임 화면의 세부 창들, 관중들의 반응, 해설자의 해설, 리플레이 화면 등을 동시 혹은 선형적으로 보여줌으로써, 시청자로 하여금 끊임없이 컴퓨터 게임이라는 미디어를 인식하게 한다. 또한 e-sports는 이름에서도 드러나듯이, sports의 사회적 지위를 표상한다. e-sports 플레이어들이 선수로 불리고, 이들이 프로 게임단을 조직해 활동한다. e-sports(스타크래프트의 경우)는 상설 경기장에서, 종종 체육관에서 대규모 관중들 앞에서 보여짐으로써 기존 sports 경기를 표상한다. 재매개는 새로운 미디어가 등장하면서 자연스럽게 취하는 전략이다. 새로운 미디어가 쏟아지는 디지털 미디어 시대, e-sports의 재매개 전략을 살펴봄으로써 새로운 미디어가 미학적, 사회적으로 자리잡을 수 있는 함의를 얻을 수 있다.

• Genomics & Informatics
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• v.17 no.2
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• pp.15.1-15.7
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• 2019

Automatically detecting mentions of pharmaceutical drugs and chemical substances is key for the subsequent extraction of relations of chemicals with other biomedical entities such as genes, proteins, diseases, adverse reactions or symptoms. The identification of drug mentions is also a prior step for complex event types such as drug dosage recognition, duration of medical treatments or drug repurposing. Formally, this task is known as named entity recognition (NER), meaning automatically identifying mentions of predefined entities of interest in running text. In the domain of medical texts, for chemical entity recognition (CER), techniques based on hand-crafted rules and graph-based models can provide adequate performance. In the recent years, the field of natural language processing has mainly pivoted to deep learning and state-of-the-art results for most tasks involving natural language are usually obtained with artificial neural networks. Competitive resources for drug name recognition in English medical texts are already available and heavily used, while for other languages such as Spanish these tools, although clearly needed were missing. In this work, we adapt an existing neural NER system, NeuroNER, to the particular domain of Spanish clinical case texts, and extend the neural network to be able to take into account additional features apart from the plain text. NeuroNER can be considered a competitive baseline system for Spanish drug and CER promoted by the Spanish national plan for the advancement of language technologies (Plan TL).

• Korean Journal of Veterinary Research
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• v.62 no.1
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• pp.3.1-3.7
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• 2022

Disulfiram (DSF) is a marketed drug to treat patients with alcohol dependence by inhibiting aldehyde dehydrogenase. Over the last few decades, DSF has been shown to have anticancer effects through different mechanisms. Moreover, this effect can be elevated when used with copper (Cu). Subsequent studies have been conducted on various cancers, but few on lymphoma. This study investigated the anticancer effects of DSF on lymphoma and how this effect changed when treated with Cu. DSF synergistically decreased the metabolic activity of EL4 lymphoma cells when combined with Cu. At 1 µM of DSF alone, the metabolic activity of EL4 cells decreased by 49% compared to the control, whereas it decreased by 87% with a DSF + CuCl₂ treatment. Rhodamine 123 and 2',7'-dichlorofluorescein diacetate staining showed that DSF induced the reduction of the mitochondrial membrane potential and promoted the production of reactive oxygen species. In particular, the combined treatment of DSF + Cu induced cell death based on multiple assays, including annexin V-fluorescein isothiocyanate/propidium iodide staining. Overall, DSF has anticancer effects on lymphoma cells and exhibits synergistic effects when combined with Cu. This study provides some valuable information to broaden the use of DSF in clinics and basic research.

• Genomics & Informatics
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• v.21 no.1
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• pp.6.1-6.8
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• 2023

Glaucoma is the second leading cause of irreversible blindness, and primary open-angle glaucoma (POAG) is the most common type. Due to inadequate diagnosis, treatment is often not administered until symptoms occur. Hence, approaches enabling earlier prediction or diagnosis of POAG are necessary. We aimed to identify novel drugs for glaucoma through bioinformatics and network analysis. Data from 36 samples, obtained from the trabecular meshwork of healthy individuals and patients with POAG, were acquired from a dataset. Next, differentially expressed genes (DEGs) were identified to construct a protein-protein interaction (PPI) network. In both stages, the genes were enriched by studying the critical biological processes and pathways related to POAG. Finally, a drug-gene network was constructed, and novel drugs for POAG treatment were proposed. Genes with p < 0.01 and |log fold change| > 0.3 (1,350 genes) were considered DEGs and utilized to construct a PPI network. Enrichment analysis yielded several key pathways that were upregulated or downregulated. For example, extracellular matrix organization, the immune system, neutrophil degranulation, and cytokine signaling were upregulated among immune pathways, while signal transduction, the immune system, extracellular matrix organization, and receptor tyrosine kinase signaling were downregulated. Finally, novel drugs including metformin hydrochloride, ixazomib citrate, and cisplatin warrant further analysis of their potential roles in POAG treatment. The candidate drugs identified in this computational analysis require in vitro and in vivo validation to confirm their effectiveness in POAG treatment. This may pave the way for understanding life-threatening disorders such as cancer.

• IMMUNE NETWORK
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• v.20 no.4
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• pp.29.1-29.20
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• 2020

The development of refractory tumor cells limits therapeutic efficacy in cancer by activating mechanisms that promote cellular proliferation, migration, invasion, metastasis, and survival. Benzimidazole anthelmintics have broad-spectrum action to remove parasites both in human and veterinary medicine. In addition to being antiparasitic agents, benzimidazole anthelmintics are known to exert anticancer activities, such as the disruption of microtubule polymerization, the induction of apoptosis, cell cycle (G2/M) arrest, anti-angiogenesis, and blockage of glucose transport. These antitumorigenic effects even extend to cancer cells resistant to approved therapies and when in combination with conventional therapeutics, enhance anticancer efficacy and hold promise as adjuvants. Above all, these anthelmintics may offer a broad, safe spectrum to treat cancer, as demonstrated by their long history of use as antiparasitic agents. The present review summarizes central literature regarding the anticancer effects of benzimidazole anthelmintics, including albendazole, parbendazole, fenbendazole, mebendazole, oxibendazole, oxfendazole, ricobendazole, and flubendazole in cancer cell lines, animal tumor models, and clinical trials. This review provides valuable information on how to improve the quality of life in patients with cancers by increasing the treatment options and decreasing side effects from conventional therapy.

• SUVANNABHUMI
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• v.16 no.1
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• pp.15-38
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• 2024

In this paper, I will pursue initial ideas I formulated in 2012 about the permeation of Korean influences in Philippine popular culture, particularly in the production of serialized TV drama/soap operas or the "teleserye" [tele for television + "serye" or series; thus, TV drama series]. I called the phenomenon the "Korean Turn" as I observed the emulation of Korean televisual drama (nowadays called K-Drama) modes and practices by local production through various means of cultural appropriation. This time, I will expand my exploration to other aspects of Philippine entertainment and other cultural practices. I will also update my observations on the continuing "Korean turn" in the teleserye. I will argue, on the one hand, about the success and soft power of hallyu or the "Korean wave" in the Philippines; and on the other, about Philippine culture's enduring ingenuity in its reception and repurposing of hallyu. Ideas to be yielded here will form part of a potential framework in understanding the dynamics of the interface between Korean and Philippine cultures, in the context of globalization. I assert that popular culture remains to be an undervalued field of inquiry, as far as these contexts are concerned.

• Journal of Microbiology and Biotechnology
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• v.30 no.3
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• pp.313-324
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• 2020

Coronavirus disease 2019 (COVID-19), which causes serious respiratory illness such as pneumonia and lung failure, was first reported in Wuhan, the capital of Hubei, China. The etiological agent of COVID-19 has been confirmed as a novel coronavirus, now known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is most likely originated from zoonotic coronaviruses, like SARS-CoV, which emerged in 2002. Within a few months of the first report, SARS-CoV-2 had spread across China and worldwide, reaching a pandemic level. As COVID-19 has triggered enormous human casualties and serious economic loss posing global threat, an understanding of the ongoing situation and the development of strategies to contain the virus's spread are urgently needed. Currently, various diagnostic kits to test for COVID-19 are available and several repurposing therapeutics for COVID-19 have shown to be clinically effective. In addition, global institutions and companies have begun to develop vaccines for the prevention of COVID-19. Here, we review the current status of epidemiology, diagnosis, treatment, and vaccine development for COVID-19.

• BMB Reports
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• v.53 no.4
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• pp.191-205
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• 2020

The unexpected pandemic set off by the novel coronavirus 2019 (COVID-19) has caused severe panic among people worldwide. COVID-19 has created havoc, and scientists and physicians are urged to test the efficiency and safety of drugs used to treat this disease. In such a pandemic situation, various steps have been taken by the government to control and prevent the Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2). This pandemic situation has forced scientists to rework strategies to combat infectious diseases through drugs, treatment, and control measures. COVID-19 treatment requires both limiting viral multiplication and neutralizing tissue damage induced by an inappropriate immune reaction. Currently, various diagnostic kits to test for COVID-19 are available, and repurposing therapeutics for COVID-19 has shown to be clinically effective. As the global demand for diagnostics and therapeutics continues to rise, it is essential to rapidly develop various algorithms to successfully identify and contain the virus. This review discusses the updates on specimens/samples, recent efficient diagnostics, and therapeutic approaches to control the disease and repurposed drugs mainly focusing on chloroquine/hydroxychloroquine and convalescent plasma (CP). More research is required for further understanding of the influence of diagnostics and therapeutic approaches to develop vaccines and drugs for COVID-19.