• 한국식품영양과학회지
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• 제24권4호
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• pp.619-624
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• 1995

Sesame protein concentrate(SPC) was prepared from defatted sesame flour(DSF) at several different pH(2.0, 7.0, 9.0, 11.0) for protein extraction. Some of their functional properties were determined in order to compare the effects of pH during preparation of concentrates. Compared with DSF, nitrogen solubility was markedly improved in all SPC, and SPC extracted at pH 11.0 showed the highest solubility at all pH leaves examined. Fatabsorption was increased in all SPC prepared, but water absorption was decreased as the extraction pH of protein increased. The emulsifying properteis and foaming properties of SPC were remarkably higher than DSF. As the extraction pH of protein was increased, the emulsion activity was also increased, but emulsion stability was decreased. SPC extracted at pH 7.0 showed the highest foaming capacity on the other hand, the highest foaming stability was shown in SPC extracted at pH 2.0. As the protein extraction pH increased, the viscosity of the protein solution was increased. SPC extracted at pH 11.0 showed highest viscosity at all protein concentrations tested.

• 한국식품저장유통학회지
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• 제22권2호
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• pp.256-260
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• 2015

본 연구에서는 알칼리 사용에 따른 갈변을 최소화하고 영양적으로 우수한 천마 단백질을 보다 효율적으로 추출하기 위하여 용출 및 침전 pH에 따른 단백질의 갈변도와 함량을 측정함으로써 탈지 천마 단백질 알칼리 추출의 최적 pH 조건을 설정하고자 하였다. 천마의 수분은 약 15%로 측정되었으며, 대부분 탄수화물로 구성되어 있었고, 단백질의 함량이 높은 것으로 확인되었다. 이러한 단백질을 다양한 pH에서 용출시킨 결과 pH가 증가함에 따라 용출된 단백질의 양이 증가하였으며, 갈변도 또한 증가함을 보였다. 침전 pH에 따른 단백질 함량은 pH 4에서 침전된 pellet이 가장 많은 함량을 나타내었으며, 상등액의 단백질 함량 또한 대부분 pH 4로 침전시킨 경우 가장 적은 것으로 확인되었다. 뿐만 아니라 단백질의 회수율도 침전 pH가 4일 때 가장 높은 값을 나타내었다. 따라서 갈변도와 단백질 함량을 고려한 탈지 천마 단백질 추출을 위한 최적조건은 용출 pH 9와 침전 pH 4로 결정되었다.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제23권3호
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• pp.194-198
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• 2017

본 논문에서는 학술 문헌에서 표현된 단백질 간 상호 작용(Protein-Protein Interaction) 정보를 자동으로 추출하기 위한 확장된 형태의 Convolutional Neural Network (CNN) 모델을 제안한다. 이 모델은 기존에 관계 추출(Relation Extraction)을 위해 고안된 단순 자질 기반의 CNN 모델을 확장하여 다양한 전역 자질들을 추가적으로 적용함으로써 성능을 개선할 수 있는 장점이 있다. PPI 추출 성능 평가를 위해서 많이 활용되고 있는 준거 평가 컬렉션인 AIMed를 이용한 실험에서 F-스코어 기준으로 78.0%를 나타내어 현재까지 도출된 세계 최고 성능에 비해 8.3% 높은 성능을 나타내었다. 추가적으로 CNN 모델이 복잡한 언어 처리를 통한 자질 추출 작업을 하지 않고도 단백질간 상호 작용 추출에 높은 성능을 나타냄을 보였다.

• 한국식품영양과학회지
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• 제22권6호
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• pp.771-776
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• 1993

Aqueous extraction of sea tangle at the temperature range of 60~10$0^{\circ}C$ was studied for temperature effects on soluble solids and protein yields, amino nitrogen, turbidity and viscosity of extracts. The solids and protein yield were increased as the temperature increased and most of solids and protein were extracted during 1 hour. The supernatant ratio after centrifugation showed significantly low for the extraction at 6$0^{\circ}C$. More temperature effects were found on turbidity and viscosity than yields. A significantly higher total amino nitrogen contents was obtained from higher temperature at initial stage of extraction and then the differences of them became to be narrow as the extraction prolonged further. The low values of 24.1% solids and 13.5% protein yields after 2 hours of extraction at 10$0^{\circ}C$ indicated that most of solids in sea tangle are insouble.

• Applied Biological Chemistry
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• 제49권4호
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• pp.304-308
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• 2006

누에번데기에 함유되어 있는 불용성 단백질을 가용성 단백질로 추출시키기 위하여 누에번데기에 Bacillus sp. JH-209 균주로부터 생산된 protease를 작용시켰다. 이때 누에번데기 단백질의 추출을 위한 적정 pH는 pH $7{\sim}11$까지의 알칼리 영역에서 추출율의 증가를 보였다. 최적 온도는 $40^{\circ}C$였고, 최적 작용시간은 11시간이었고, 효소의 최적 첨가량은 60 unit 정도였다. 효소처리 된 누에번데기 단백질은 효소처리하지 않은 대조구에 비해 기포력, 기포안정성, 유화력과 유화안정성이 증가하였고, 유지흡착력과 수분흡착력도 대조구에 비해서 높은값을 나타내었다.

• International Journal of Industrial Entomology and Biomaterials
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• 제48권2호
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• pp.86-97
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• 2024

Alkaline- or salt-assisted extractions have been widely used to extract edible insect proteins, however, there is a need for extraction techniques that balance cost-efficient production as well as preserving the protein properties. Mealworm proteins (Tenebrio molitor larvae) were extracted using three different extraction methods-alkali (AMP), salt (SMP), and water (WMP)-and then physicochemical and techno-functional properties were examined. AMP had high yield, protein, and amino acid contents, whereas WMP had high moisture, ash, and fat contents. SDS-PAGE showed a wide range of molecular weights in WMP whereas mostly low molecular weights were observed in AMP and SMP. AMP had poor protein solubilities compared to SMP and WMP across all pHs. AMP had enhanced water-holding capacity and emulsion stability, whereas WMP had improved oil-holding capacity and foaming properties. WMP formed a gel with and without the transglutaminase. The physicochemical and techno-functional properties demonstrated that water-soluble mealworm protein was superior to alkali-and salt-soluble mealworm proteins. Considering the cost efficiency and minimal impact on the environment as well, a cold press juicer could be utilized for mass production of mealworm protein compared to the conventional methods of protein extraction using alkali and salt.

• 한국식품영양과학회지
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• 제29권1호
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• pp.57-63
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• 2000

To extract insoluble proteins from abolished soybean meal, the meal was treatesd with phytase and protease produced by Aspergillus sp. SM-15 and Aspergillus sp. MS-18. The extraction of insoluble soybean protein was increased at alkaline range more than pH 5 in case of phytase, pH 7 to 11 in case of protease and pH 5 to 12 in case of the mixed enzyme of phytase and protease. The optimum extraction temperature of insoluble protein was 5$0^{\circ}C$ for phytase and the mixed enzyme of phytase and protease, and 6$0^{\circ}C$ for protease. The optimum treatment time for extraction of protein was 9 hrs for phytase, 11 hrs for protease and the mixed enzyme of phytase and protease and optimum unit of enzyme for extraction of protein was 600 unit, 40 unit and 900 unit＋60 unit in case of phytase, protease, phytase and protease, respectively. The treatment of mixed enzyme showed higher extracton rate of protein than single enzyme treatment. The foaming capacity, foaming stability, emulsion capacity, and emulsion stability of soybean meal protein by the treatment of the enzymes increased at all pH range. Further more oil absorption as well as water absorption capacities by the treatment of the enzymes were also increased. The functional properteis of the soybean meal protein treated by the mixed enzyme were higher than those of soybean meal protein treated by the single enzyme.

• 한국식품과학회지
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• 제23권6호
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• pp.673-676
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• 1991

Aqueous process를 이용하여 전지 대두분에서 대두유와 대두단백을 동시에 추출하였다. 효소 처리나 초음파 처리를 하지 않은 aqueous extraction의 경우 최적 추출조건은 pH8, 6배의 희석률 $40^{\circ}C$, 120-150 mesh의 크기로 나타났으며 62%의 유지와 62%의 단백질이 추출되었다. 효소처리를 하였을 경우에는 유지는 최고 86%, 단백질은 최고 89%가 추출되었고, 초음파 처리를 하였을 경우에는 유지와 단백질은 모누 90%가 추출되었다. Aqueous extraction으로 얻어진 대두유는 hexane으로 추출한 대두유보다는 Lovibond의 붉은색과 노랑색이 약간 짙었으나 Folch 용매로 추출한 것 보다는 두 가지 색도가 모두 배우 약했다.

• 한국식품영양학회지
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• 제10권4호
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• pp.503-508
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• 1997

L. edodes의 배양액 및 균사체로부터 항암작용이 있는 단백 다당류의 추출 및 정제방법에 관한 실험을 실시하였다. 단백다당류 추출에서 비이온성 계명 활성제인 2% Triton X-100 용액으로 추출할 경우 상온에서 추출하여도 통상의 10$0^{\circ}C$ 열수 추출을 통해 얻을 수 있는 것보다 수율이 높았다. 그러나 계명활성제 용액에 4N NaCl을 첨가하여 추출하면 ethanol 침전과정에서 단백다당류의 침전물을 얻을 수 없었다. 열수 추출에 있어서 추출 온도는 10$0^{\circ}C$가 효과적이고 추출 시간은 4시간 정도면 충분하였다. 열수 추출 결과 ethanol 침전 및 동결건조를 통하여 얻어진 조단백 다당류의 정제 실험에서는 alumina를 충전제로 하는 gel filtration보다 sephadex에 의한 gel filtration 또는 DEAE-cellulose, DEAE-sephadex를 이용한 ion exchange chromatography가 보다 효과적이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권3호
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• pp.771-791
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• 2022

Protein-protein interaction (PPI) extraction from original text is important for revealing the molecular mechanism of biological processes. With the rapid growth of biomedical literature, manually extracting PPI has become more time-consuming and laborious. Therefore, the automatic PPI extraction from the raw literature through natural language processing technology has attracted the attention of the majority of researchers. We propose a PPI extraction model based on the large pre-trained language model and adversarial training. It enhances the learning of semantic and syntactic features using BioBERT pre-trained weights, which are built on large-scale domain corpora, and adversarial perturbations are applied to the embedding layer to improve the robustness of the model. Experimental results showed that the proposed model achieved the highest F1 scores (83.93% and 90.31%) on two corpora with large sample sizes, namely, AIMed and BioInfer, respectively, compared with the previous method. It also achieved comparable performance on three corpora with small sample sizes, namely, HPRD50, IEPA, and LLL.