• Korean Journal of Food Science and Technology
• /
• v.25 no.5
• /
• pp.526-529
• /
• 1993

The present study was conducted to investigate nitrite-scavenging ability of the components of Cassiae torae semen, Cassia tora L. The nitrite-scavenging effects of fractions obtained from methanol extract of Cassiae torae semen, Cassia tora L. were strong in ethyl acetate fraction, chloroform fraction, water soluble fraction and ethyl ether fraction in order. Compound D showed the strongest nitrite-scavenging effects among compound A, B, C, D separated from Cassiae torae semen. Compound D separated from Cassiae torae semen possessed ten-fold stronger the nitrite-scavenging effect than ascorbic acid.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.17 no.2
• /
• pp.363-367
• /
• 2003

Oriental pear was used as treatment of asthma, control of blood pressure tonic medicine vasoaction, diabetes in oriental medicine. In this study, it was investigated that pear phenolic compound effects on cardiovascular system as blood pressure and renin and atrial natriuretic peptide(ANP) in plasma, Cardiac hypertrophy. The experiments were performed on Sprague Dawley rats, 2K1C hypertension model was prepared by constricting the left renal artery with a sliver clip. Animals were then divided into four groups, 5mg/Kg(PPC-A) 10mg/Kg(PPC-B) 15mg/Kg(PPC-c) and control group. Pear phenolic compound solution were supplied with them for 3weeks, a day's interval. The results are that The blood pressure was significantly decreased at 15days in PPC-A group than control group. The plasma ANP was increased in PPC-A and PPC-C group, and cardiac hypertrophy was significantly decrease in PPC-C group compared with control group.

• Advances in Traditional Medicine
• /
• v.10 no.1
• /
• pp.21-28
• /
• 2010

The objective of the present investigation is to evaluate the antimicrobial potency of the terpenoid fractions isolated from Luffa cylindrica seeds against various pathogenic microbes. The seeds were powdered and extracted with methanol in soxhlet appratus based on phytochemical screening. Three terpenoid components were isolated by column chromatography and identified by thin layer chromatography and chemical analysis which were designated as ${LCSF_4}^*$, ${LCSF_6}^*$ & ${LCSF_8}^*$ respectively. Disc diffusion method was employed to determine the antimicrobial effectiveness of test compounds I, II and III $({LCSF_4}^*,\;{LCSF_6}^*\;&\;{LCSF_8}^*)$ against 6 microbial species viz., Staphylococcus (S.) aureus, Bacillus (B.) subtilis, Escherichia (E.) coli, Pseudomonas (P.) aeruginosa, Candida (C.) albicans and Aspergillus niger. The disc was saturated with $100{\mu}l$ of each compound, allowed to dry and introduced on the upper layer of seeded agar plate. The plates were incubated overnight at $37^{\circ}C$. Microbial growth was determined by measuring the zonal inhibition diameters. Compound I showed maximum potency against gram positive S. aureus (21 mm) in comparison with standard ciprofloxacin (38 mm), whereas the same compound was completely devoid of activity against both the fungi tested. Compound II was found to be highly sensitive against both the gram negative E. coli (20 mm) and P. aeruginosa (22 mm). Compound II was found to exhibit maximum potency against the fungi C. albicans (15 mm) and A. niger (20 mm). Compound III was found to be very effective against both the gram positive S. aureus (20 mm) and B. subtilis (15 mm) respectively.

• Korean Journal of Cognitive Science
• /
• v.28 no.4
• /
• pp.299-314
• /
• 2017

Predicting compound-protein interactions in-silico is significant for the drug discovery. In this paper, we propose an scalable machine learning model to predict compound-protein interaction. The key idea of this scalable machine learning model is the architecture of pairwise neural network model and feature embedding method from the raw data, especially for protein. This method automatically extracts the features without additional knowledge of compound and protein. Also, the pairwise architecture elevate the expressiveness and compact dimension of feature by preventing biased learning from occurring due to the dimension and type of features. Through the 5-fold cross validation results on large scale database show that pairwise neural network improves the performance of predicting compound-protein interaction compared to previous prediction models.

• Journal of the Korea Society of Computer and Information
• /
• v.22 no.3
• /
• pp.107-113
• /
• 2017

Most of online bookstores are providing a user with the bibliographic book information rather than the concrete information such as thematic words and atmosphere. Especially, thematic words help a user to understand books and cast a wide net. In this paper, we propose an efficient extraction method of thematic words from book text by applying the compound noun and noun phrase synthetic method. The compound nouns represent the characteristics of a book in more detail than single nouns. The proposed method extracts the thematic word from book text by recognizing two types of noun phrases, such as a single noun and a compound noun combined with single nouns. The recognized single nouns, compound nouns, and noun phrases are calculated through TF-IDF weights and extracted as main words. In addition, this paper suggests a method to calculate the frequency of subject, object, and other roles separately, not just the sum of the frequencies of all nouns in the TF-IDF calculation method. Experiments is carried out in the field of economic management, and thematic word extraction verification is conducted through survey and book search. Thus, 9 out of the 10 experimental results used in this study indicate that the thematic word extracted by the proposed method is more effective in understanding the content. Also, it is confirmed that the thematic word extracted by the proposed method has a better book search result.

• Journal of the korean academy of Pediatric Dentistry
• /
• v.39 no.1
• /
• pp.97-102
• /
• 2012

Odontoma is a mixed tumor formed by the overgrowth of ectodermal epithelial cells and mesodermal cells. It arises during normal tooth development and only grows to a certain level. It is not a true neoplasm and therefore it is considered as hamartomas. Odontomas are classified into compound and complex types based on morphology. Compound odontoma is commonly found in the anterior region of the maxilla, and has a radiopaque lesion that resembles small teeth. Usually, odontoma is treated by conservative surgical removal and there is little probability of recurrence. This paper describes three cases of compound odontoma diagnosed in children with 1 year of follow-up. These case reports present patients having eruption disturbance of primary and permanent teeth due to the presence of compound odontoma. In order to induce spontaneous eruption, conservative surgical removal was performed showing favorable results.

• Polymer(Korea)
• /
• v.39 no.2
• /
• pp.240-246
• /
• 2015

Formation of a strong 3-dimensional interfacial network structure via chemical reaction between hydroxyl group on silica surface and NR chain by the addition of bis(triethoxysilylpropyl)tetrasulfide (TESPT) into silica-filled NR compound was observed by using Py-GC/MS and SEM. Addition of TESPT into silica-filled NR compound decreased scorch time ($t_{10}$) due to increased sulfur content, and reduced cure rate index (CRI) via continuous reaction between sulfur atoms in TESPT, which acted as a sulfur donor, and activators and/or accelerators. Addition of TESPT in the compound improved processability and mechanical properties of the compound. Overall, we observed that the addition of TESPT into the silica-filled NR compound formed a silica-TESPT-NR network, and thus the degree of crosslinking was increased resulting in improved mechanical properties.

• Journal of Microbiology and Biotechnology
• /
• v.15 no.4
• /
• pp.909-912
• /
• 2005

In the course of screening for selective growth inhibitors against the mycelial form of Candida albicans, we isolated a Streptomyces sp. A6792 from soils. The inhibitor was isolated from the above bacterium and identified through several spectral analyses with UV and mass spectrophotometries, and various NMR. The compound was determined to be a macrocyclic dilactone antibiotic, IKD-8344 (molecular weight: 844, molecular formula: $C_{48}H_{76}O_{12}$). The compound selectively inhibited the growth of mycelial form of C. albicans with an MIC of 6.25 ${\mu}g/ml$. It also exhibited strong inhibitory effect preferentially on the mycelial form of various Candida spp. including C. krusei, C. tropicalis, and C. lusitaniae, with MICs ranging from 1.56 to 25 ${\mu}g$/ml. Furthermore, the compound showed no significant toxicity against SPF ICR mice up to 60 mg/kg. These results suggest that IKD-8344 is a useful lead compound for the development of novel antifungal agents, based on the preferential growth inhibition against Candida spp.

• Korean Journal of Microbiology
• /
• v.30 no.1
• /
• pp.1-7
• /
• 1992

We cloned a gene cluster encoding phenanthrene-degrading enzymes on a 6.8-kb Xhol fragment from the Pseudomonas sp. DJ77 chromosomal DNA into the vector pBLUESCRIPT SIC(+). The resultant clone, containing the recombinant plilsmid pHENX7, was able to convert 3-methylcatechol to a yellow mela-cleavage compound. Since the pHENX7R in which the DNA insert was cloned in the opposite orientation lacked extradiol dioxygenase activity. the direction of transcription was established. Four polypeptides, PhnC (24 kDa). PhnD (31 kDa), PhnE (34 kDa). and PhnF (15 kDa), were identified in E coli JM101 transformed with several pHENX7-derived plasmids. The locations and extents of ~ndividual genes were determined by subcloning. The gene order was phnC-phnD-phnE-phnF-phnG, and phnC, phnD, phnE, and phnG genes encoded glutathione S-transferase, mrta-cleavage compound hydrolase, extradiol dioxygenase, mera-cleavage compound dehydrogenase, respectively.

• Proceedings of the Ginseng society Conference
• /
• 2006.05a
• /
• pp.69-70
• /
• 2006

Purpose: Panaxadiols are more potent than panaxatriols as far as insulin secretory activity is concerned. In this study, we examined insulin secretory activity and mechanism of compound K (CK), a major intestinal bacterial metabolite of ginsenosides. Method: Insulin secretory activity of CK was examined using pancreatic beta cells and in Oral Glucose Tolerance Test assay. In addition, insulin secretory mechanism was studied in terms of calcium dependent or independent pathways. Results: In vitro, CK enhanced the insulin secretion concentration-dependently when compared to glucose-stimulated control cells. Insulin secretory mechanism of CK seems to block ATP sensitive K channels, which was confirmed by diazoxide (K channel opener) but, insulin resistance ameliorating activity of CK can't be ruled out. In vivo, CK showed hypoglycemic effect in OGTT.