• 한국의류학회지
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• 제48권3호
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• pp.511-527
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• 2024

The aim of this study was to impart color to bacterial cellulose (BC) fabric using various natural plant-based dyes-namely, gardenia jasminoides, green tea, and pomegranate peel. A protein pretreatment was also applied to improve the BC fabric's dyeability and mechanical properties. The BC fabric's dyeing and mordanting conditions when using plant-based natural dyes were determined by changes in the K/S values. The dyeability of BC samples dyed with green tea or pomegranate peel improved when they were pretreated with soy protein isolate (SPI) prior to dyeing. Moreover, the SPI pretreatment was efficient in improving the BC fabric's tensile strength and flexibility. This study proposes a method for dyeing BC fabric that uses plant-based natural dyes and confirms the effects of the protein pretreatment on the fabric's dyeability and durability.

• Asian-Australasian Journal of Animal Sciences
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• 제12권8호
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• pp.1205-1214
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• 1999

Whole lupinus albus seeds were pressure toasted at temperatures of 100, 118 and $136^{\circ}C$ for 3, 7, 15 and 30 min to study rumen degradation and post-rumen digestion and to determine optimal heating conditions for the Dutch dairy feed industry. In sacco nylon bag and mobile bag techniques were employed for rumen and intestine incubations to determine ruminal degradation characteristics and intestinal digestion of crude protein (CP) in 4 lactation rumen cannulated and 4 lactating intestinal cannulated Dutch dairy cows fed 47% hay and 53% concentrate according to Dutch dairy requirements. Measured rumen degradation characteristics were soluble fraction (S), undegradable fraction (U), potentially degradable fraction (D), lag time (T0) and rate of degradation (Kd) of insoluble but degradable fraction. Percentage bypass feed protein (BCP), ruminal microbial protein synthesized based on available nitrogen (N_MP) and that based on available energy (E_MP), true protein supplied to the small intestine (TPSI), truly absorbed BCP (ABCP), absorbed microbial protein (AVP) in the small intestine, endogenous protein losses in the digestion (ENDP), true digested protein in the small intestine (TAP or DVE in Dutch) and degraded protein balance (PDB or OEB in Dutch) were totally evaluated using the new Dutch DVE/OEB System. Pressure toasting decreased (p<0.001) rumen degradability of CP. It reduced S (p<0.05) and Kd (p=0.06), increased D (p<0.05) and U (p<0.01) but did not alter T0 (p>0.05), thus resulting in dramatically increased BCP (p<0.001) with increasing time and temperature from 73.7 (raw) up to 182.5 g/kg DM ($136^{\circ}C/15min$). Although rumen microbial protein synthesized based on available energy (E_MP) was reduced, true protein (microbial and bypass feed protein) supplied to the small intestine (TPSI) was increased (p<0.001) from 153.1 (raw) to 247.6 g/kg DM ($136^{\circ}C/15min$). Due to digestibility of BCP in the intestine not changing (p>0.05) average 87.8%, the absorbed BCP increased (p<0.001) from 62.3 (raw) to 153.7 g/kg DM ($136^{\circ}C/15min$). Therefore DVE value of true digested protein in the small intestine was significantly increased (p<0.001) from 118.9 (raw) to 197.0 g/kg DM ($136^{\circ}C/15min$) and OEB value of degraded protein balance was significantly reduced (p<0.001) from 147.2 (raw) to 63.1 g/kg DM ($136^{\circ}C/15min$). It was concluded that pressure toasting was effective in shifting degradation of CP of lupinus albus from the rumen to small intestine without changing intestinal digestion. Further studies are required on the degradation and digestion of individual amino acids and on the damaging effects of processing on amino acids, especially the first limiting amino acids.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제10권4호
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• pp.299-308
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• 2004

최근 단백질 및 도메인과 관련된 방대한 양의 데이타들이 인터넷상에 공표되고 축적됨에 따라, 단백질간의 상호작용에 대한 예측 시스템의 필요성이 제기되고 있다. 본 논문에서는 이러한 데이타를 이용하여 계산적으로 도메인 조합 쌍에 기반하여 단백질의 상호작용 확률을 예측하는 새로운 단백질 상호작용 예측 시스템을 제안한다. 제안된 예측 시스템에서는 기존의 도메인 쌍(domain pair)의 제약성을 극복하기 위하여 도메인 조합(domain combination)과 도메인 조합 쌍(domain combination pair)의 개념이 새롭게 도입하였다. 그리고 도메인 조합 쌍(domain combination pair 또는 dc-pair)을 단백질 상호작용의 기본 단위로 간주하고 예측을 시도한다. 예측 시스템은 크게 예측 준비 과정과 서비스 과정으로 구성되어 있다. 예측 준비 과정에서는 상호작용이 있는 것으로 알려진 단백질 쌍 집합과 상호작용이 없는 것으로 추정되는 단백질 도메인 쌍 집합으로부터 각각 도메인 조합 정보와 그 출현 빈도를 추출한다. 추출된 정보들은 출현 확률 배열(Appearance Probability Matrix 또는 AP matrix)로 불리는 배열 구조에 저장된다. 논문에서는 출현 확률 배열에 기반을 두어, 단백질-단백질 상호작용을 예측하는 확률식 PIP(Primary Interaction Probability)를 고안하고, 고안된 확률식을 이용하여, 상호작용이 있는 것으로 알려진 단백질 쌍 집합과 상호작용이 없는 것으로 추정되는 단백질 도메인 쌍 집합의 확률 값 분포를 생성시킨다. 예측서비스 과정에서는 예측 준비 과정에서 얻어진 분포와 확률식을 이용하여 임의의 단백질 쌍의 상호작용 확률을 계산한다. 예측 모델의 유효성은 효모(yeast)에서 상호작용이 있는 것으로 보고된 단백질 쌍 집합과 상호작용이 없는 것으로 추정되는 단백질 쌍 집합을 이용하여 검증하였다. DIP(Database of Inter-acting Proteins)의 상호작용이 있는 것으로 알려진 효모 단백질 쌍 집합의 80%를 학습 집단으로 사용했을 때, 86%의 sensitivity와 56%의 specificity를 나타내어, 도메인을 기반으로 한 기존의 예측 시스템에 비해서 우월한 예측 정확도를 보여주었다. 이와 같은 예측 정확도의 개선은 본 예측 시스템이 상호작용의 기본 단위로 dc-pair를 채택한 점과 분류를 위하여 새롭게 고안하여 사용한 PIP식이 유효했던 것으로 판단된다.

• Animal Bioscience
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• 제36권8호
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• pp.1263-1273
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• 2023

Objective: This study was conducted to evaluate the effects of crude protein (CP) levels on the physiological response, reproductive performance, blood profiles, milk composition and odor emission in gestating sows. Methods: Seventy-two multiparous sows (Yorkshire×Landrace) of average body weight (BW), backfat thickness, and parity were assigned to one of six treatments with 10 or 11 sows per treatment in a completely randomized design. Experimental diets with different CP levels were as follows: i) CP11, corn-soybean-based diet containing 11% CP; ii) CP12, corn-soybean-based diet containing 12% CP; iii) CP13, corn-soybean-based diet containing 13% CP; iv) CP14, corn-soybean-based diet containing 14% CP; v) CP15, corn-soybean-based diet containing 15% CP; and vi) CP16: corn-soybean-based diet containing 16% CP. Results: There was no significant difference in the performance of sow or piglet growth when sows were fed different dietary protein levels. Milk fat (linear, p = 0.05) and total solids (linear, p = 0.04) decreased as dietary CP levels increased. Increasing dietary CP levels in the gestation diet caused a significant increase in creatinine at days 35 and 110 of gestation (linear, p = 0.01; linear, p = 0.01). The total protein in sows also increased as dietary CP levels increased during the gestation period and 24 hours postpartum (linear, p = 0.01; linear, p = 0.01). During the whole experimental period, an increase in urea in sows was observed when sows were fed increasing levels of dietary CP (linear, p = 0.01), and increasing blood urea nitrogen (BUN) concentrations were observed as well. In the blood parameters of piglets, there were linear improvements in creatinine (linear, p = 0.01), total protein (linear, p = 0.01), urea (linear, p = 0.01), and BUN (linear, p = 0.01) with increasing levels of dietary CP as measured 24 hours postpartum. At two measurement points (days 35 and 110) of gestation, the odor gas concentration, including amine, ammonia, and hydrogen sulfide, increased linearly when sows fed diets with increasing levels of dietary CP (linear, p = 0.01). Moreover, as dietary CP levels increased to 16%, the odor gas concentration was increased with a quadratic response (quadratic, p = 0.01). Conclusion: Reducing dietary CP levels from 16% to 11% in a gestating diet did not exert detrimental effects on sow body condition or piglet performance. Moreover, a low protein diet (11% CP) may improve dietary protein utilization and metabolism to reduce odor gas emissions in manure and urine in gestating sows.

• 정보처리학회논문지B
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• 제13B권7호
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• pp.679-688
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• 2006

대용량 실험으로부터 산출된 단백질 상호작용 데이터는 위양성(false positive) 데이터의 비율이 높다는 단점을 가지고 있다. 본 논문에서는 오류가 섞여있는 단백질 상호작용 데이터를 입력으로 받아 각 단백질 상호작용의 신뢰도를 검증하는 시스템을 제안하고 구현하였다. 제안 시스템은 단백질 상호작용 데이터에 상호작용의 근거로서 사용될 수 있는 다양한 생물학적 특징들에 관한 데이터를 통합하고 특징 선택 방법을 사용하여 통합된 속성들 중 위양성 여부를 판별하는데 가장 적합한 특징들을 선택한 후 데이터 마이닝 분류 알고리즘을 적용하여 대용량 실험으로부터 산출된 단백질 상호작용 데이터의 신뢰도를 평가한다. 특징 선택의 결과와 분류 기법의 성능은 데이터 특성에 매우 의존하므로, 제안시스템에 가장 적합한 속성 부분집합과 가장 좋은 성능을 내는 분류 알고리즘을 찾기 위해 다양한 특징 선택 방법과 데이터 마이닝 분류 알고리즘들을 적용하고 그 성능을 다각적으로 비교분석 하였다. 실험 결과, 특징 선택 방법과 분류 알고리즘을 결합시킨 제안 시스템은 오류 데이터가 섞여있는 단백질 상호작용 데이터에서 실제로 상호작용하는 단백질 쌍을 골라내는 작업에 있어 기존 연구들에 비해 매우 뛰어난 성능을 보여줬다. 또한 본 연구를 통해 단백질 상호작용 데이터의 신뢰도를 검증함에 있어서 다양한 특징 선택 방법들과 분류 알고리즘들이 성능에 미치는 영향에 관해서도 정리할 수 있었다.

• 한국자원식물학회:학술대회논문집
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• 한국자원식물학회 2018년도 춘계학술발표회
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• pp.31-31
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• 2018

The purpose of this study was to statistically analyze amylose and protein content of rice variety resources collected from China (1,542), Japan (1,409), Korea (413), and India (287). The statistical analysis was conducted using ANOVA and DMRT based on the data obtained from NIRS analysis. The average amylose contents were 18.85% in Japanese, 19.99% in Korean, 20.27% in Chinese, and 25.46% in Indian resources. The average protein contents were 7.23% in Korean, 7.73% in Japanese, 8.01% in Chinese, and 8.17% in Indian resources. The amylose and protein content using ANOVA showed significant differences at the level of 0.01. The F-test for amylose content was 158.34, and for protein content was 53.95 compared to critical value 3.78. The amylose and protein content using DMRT (p<0.01) showed significant difference between countries. The value of statistical treatment was divided into three groups such as $China^a$, $Korea^a$, $Japan^b$, $India^c$ in amylose and $China^a$, $India^a$, $Japan^b$, $Korea^c$ in protein. Japanese resources had the lowest level of amylose contents, whereas, the lowest level of protein content was found in Korean resources compared to other origins. Indian resources showed the highest level of amylose and protein contents. It is recommended that these results could be helpful to future breeding experiments.

• 미생물학회지
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• 제55권3호
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• pp.199-205
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• 2019

Yeast two-hybrid는 특정 단백질에 대한 상호작용 파트너 단백질의 선별을 위한 방법으로 개발되었다. 하지만 대규모 단백질 상호작용체 분석을 수행하기에 요구되는 노동과 대량의 한천배지 사용에 따른 문제에 의해 널리 사용되지 못하고 있다. 따라서 본 연구에서는 새로운 리포터 시스템을 yeast two-hybrid 방법에 도입하여 fluorescence-activated cell sorting (FACS) 또는 magnetic-activated cell sorting (MACS)를 이용하여 상호작용 파트너 단백질을 포함하는 효모 클론을 손쉽게 선별할 수 있도록 하였다. 새로운 리포터 시스템은 c-myc 항원 결정기가 총 10번 반복되는 형태로 효모 표면에 발현되도록 하였으며, p53과 SV40 T항원을 이용한 실험을 통하여 리포터 단백질의 정상적인 발현을 flow cytometry 분석을 통하여 확인하였다. 따라서, 새로운 리포터 시스템을 도입한 yeast two-hybrid 방법은 대규모 상호작용체 분석을 위해 필요한 노력을 현저히 줄일 수 있을 것으로 기대한다.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.228-233
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• 2005

The protein side-chain packing problem (SCPP) is known to be NP-complete. Various graph theoretic based side-chain packing algorithms have been proposed. However as the size of the protein becomes larger, the sampling space increases exponentially. Hence, one approach to cope with the time complexity is to decompose the graph of the protein into smaller subgraphs. Some existing approaches decompose the graph into biconnected components at an articulation point (resulting in an at-most 21-residue subgraph) or solve the SCPP by tree decomposition (4-, 5-residue subgraph). In this regard, we had also presented a deterministic based approach called as SPWCQ using the notion of maximum edge weight clique in which we reduce SCPP to a graph and then obtain the maximum edge-weight clique of the obtained graph. This algorithm performs well for a protein of less than 500 residues. However, it fails to produce a feasible solution for larger proteins because of the size of the search space. In this paper, we present a new heuristic approach for the side-chain packing problem based on the maximum edge-weight clique finding algorithm that enables us to compute the side-chain packing of much larger proteins. Our new approach can compute side-chain packing of a protein of 874 residues with an RMSD of 1.423${\AA}$.

• 대한소아치과학회지
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• 제25권1호
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• pp.93-102
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• 1998

Infant formula in nursing bottle, with inappropriate feeding habits, is major factor associated with the development of nursing caries. Although each infant formula has different carbohydrate and protein composition, studies comparing cariogenic potential of many Korean-branded infant formulas are deficient. In addition, it is on the point of being difficult to evaluate the cariogenecity of milk due to development of many infant formulas. In this study, to evaluate the cariogenic potential of many infant formulas, after oral rinse with six Korean-branded infant formulas(three milk based formulas, one soy based formula and two specific formulas for infants with allergy to milk protein and with lactose intolerance) for ten adult volunteers(eight males and two females), plaque pH change was measured with In vivo/In vitro combination technique and results were as follows. 1. All six different kinds of Korean-branded commercial infant formulas dropped the plaque pH significantly(p<0.05) and at an hour after rinse, plaque pH was not recovered in most of subjects. 2. Soy based infant formula and casein-hydrolyzated infant formula containing no casein dropped the plaque pH significantly more than milk based infant formula containing casein (p<0.05). 3. In the milk protein of infant formulas, casein had more effect on buffering the pH change of the infant formula than whey protein and casein-hydrolyzated infant formula had a reduced effect of casein. 4. In infant formulas with similar protein composition, infant formula containing sucrose dropped plaque pH more than infant formula containing lactose, but there was no significant difference (p>0.05).

• Genomics & Informatics
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• 제1권1호
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• pp.7-19
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• 2003

The latest measure of the relative evolutionary age of protein structure families was applied (based on taxonomic diversity) using the protein structural interactome map (PSIMAP). It confirms that, in general, protein domains, which are hubs in this interaction network, are older than protein domains with fewer interaction partners. We apply a hypothesis of 'biological network evolution' to explain the positive correlation between interaction and age. It agrees to the previous suggestions that proteins have acquired an increasing number of interaction partners over time via the stepwise addition of new interactions. This hypothesis is shown to be consistent with the scale-free interaction network topologies proposed by other groups. Closely co-evolved structural interaction and the dynamics of network evolution are used to explain the highly conserved core of protein interaction pathways, which exist across all divisions of life.