• Title/Summary/Keyword: Protein-based

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Rapid In Vitro Methods for Protein Evaluation (단백질(蛋白質) 품질평가(品質評價)를 위(爲)한 신속방법(迅速方法))

  • Ryu, Hong-Soo;Lee, Kang-Ho
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.14 no.2
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    • pp.202-213
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    • 1985
  • The protein nutritional quality of foods has become an important factor to food processors with the advent of nutritional labeling regulations for foods. Then, as is true today, the officially approved assay for protein nutritional quality was the rat based protein efficiency ratio(PER) bioassay. The PER bioassay requires a minimum of 28 days to performe, and is therefore not applicable to routine quality assurance use by the food industry. Within the past ten years there has been a research emphasis placed on the development of rapid, inexpensive, biological and/or chemical based assays for protein nutritional quality. It was hoped that if a rapid assay could be developed and thoroughly tested, it could be used in lieu of the PER bioassay in the day-to-day quality assurance screening of food ingredients and products. The rapid assays developed in the hope of attaining this goal have been based on microorganisms, proteolytic enzymes, and amino acid profiles, as well as combinations of the above. In this review, it will be described and briefly discussed many of procedures which had contributed conceptually as well as practically to the development of in vitro methods for the evaluation of protein quality. Special emphasis will be placed on the C-PER(computed protein efficiency ratio) assay which combines data from in vitro protease digestion and amino acid composition to predict protein nutritional quality designed by Satterlee et al. (1980), and the DC-PER(discriminant computed PER) which is a method of estimating protein quality based on rat assay and in vitro digestibility obtained using solely essential amino acid data will be also introduced.

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Soy protein: a high-quality, plant-based protein (대두단백: 고품질의 식물성 단백질)

  • Kim, Yoon A
    • Food Science and Industry
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    • v.51 no.4
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    • pp.270-277
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    • 2018
  • The rising global demand for food and beverages with higher protein content provides manufacturers with great opportunities for innovation and premium positioning of their products as healthy choices. However, the market price volatility and supply risks associated with animal-based proteins can quickly erode margins and profitability. A diversified protein strategy that includes plant-based soy protein greatly improves your ability to predict profitability over time, while maintaining or even improving product quality.

Protein Consumption Market Trends in Korea: Focusing on Meat, Fishery, and Plant-based Protein Foods (국내 단백질 소비시장 동향: 축산물, 수산물, 식물성 단백질 식품을 중심으로)

  • Cho, Seonghwan;Kim, Jooyoung;Lee, Eunjin;Moon, Junghoon;Eom, Haram
    • Journal of the Korean Society of Food Culture
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    • v.37 no.3
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    • pp.213-238
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    • 2022
  • This study aims to investigate protein consumption market trends in Korea. Protein consumption was divided according to the protein source into meat, fishery, and plant-based protein. To accomplish the goal of this study, food purchase data from 525 households panels collected by the Rural Development Administration over the last 10 years were used. The results of the study showed an increase or decrease in protein consumption by protein type over the last 10 years, and a reason to explain this change has been suggested. Specifically, this study found a dramatic increase in the consumption of several proteins, including beef sirloin, beef tenderloin, seasoned beef & steak, pork belly, pork shoulder, pork neck, seasoned pork, pork cutlet, sweet and sour pork, canned ham, chicken drumstick, chicken breast, dak gangjeong, Chinese fried chili chicken, salmon, eel, abalone, squid, octopus, webfoot octopus, octopus minor, canned whelk, tofu, cold bean soup,and plant-based milk. Some items showed no increase in consumption (such as beef jerky, pork rib, sausage, bacon, whole raw chicken, cutlass fish, oyster, fish cake, crab stick, surimi sausage,and canned fishery), whereas a few items showed decreased consumption (e.g., mackerel, pollack, cod,and canned tuna)

Protein Delivery System based on Various Polysaccharides

  • Jung, Young-Seok;Na, Kun
    • Journal of Pharmaceutical Investigation
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    • v.41 no.4
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    • pp.197-204
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    • 2011
  • Delivery of therapeutic protein drugs is a hot issue in the clinical application, because protein drugs have low side effects and highly therapeutic effects compared with chemical drugs. Despite their prominent advantages, protein drugs have high risk for human therapy such as their easy degradation by proteolytic enzymes, renal filtration and immune response. Over the past few decades, a large number of polysaccharides as vehicles for the protein delivery system have been developed to overcome the problems. This review presents the studies on protein delivery based on polysaccharides used as stabilizer and vehicles comprising nano- or microspheres to overcome inherent limitations of therapeutic proteins.

MOTIF BASED PROTEIN FUNCTION ANALYSIS USING DATA MINING

  • Lee, Bum-Ju;Lee, Heon-Gyu;Ryu, Keun-Ho
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.812-815
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    • 2006
  • Proteins are essential agents for controlling, effecting and modulating cellular functions, and proteins with similar sequences have diverged from a common ancestral gene, and have similar structures and functions. Function prediction of unknown proteins remains one of the most challenging problems in bioinformatics. Recently, various computational approaches have been developed for identification of short sequences that are conserved within a family of closely related protein sequence. Protein function is often correlated with highly conserved motifs. Motif is the smallest unit of protein structure and function, and intends to make core part among protein structural and functional components. Therefore, prediction methods using data mining or machine learning have been developed. In this paper, we describe an approach for protein function prediction of motif-based models using data mining. Our work consists of three phrases. We make training and test data set and construct classifier using a training set. Also, through experiments, we evaluate our classifier with other classifiers in point of the accuracy of resulting classification.

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Atom Number and Bounding Sphere Based Search Speedup Technique for Similar Proteins Screening (원자개수와 경계구에 기반한 유사 단백질 스크리닝을 위한 검색 가속 기법)

  • Lee, Jaeho;Park, JoonYoung
    • Korean Journal of Computational Design and Engineering
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    • v.20 no.4
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    • pp.321-327
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    • 2015
  • In the protein database search, 3D structural shape comparison for protein screening plays a important role. Protein databases have big size and have been grown rapidly. Exhaustive search methods cannot provide a satisfactory performance. As protein is composed of a set of spheres, the similarity calculation of two set of spheres is very expensive. Thus, a reasonable filtering method could be an answer for the speedup of protein screening. In this paper, we suggest a speedup method for protein screening with atom number and bounding sphere. We also show some experimental results for the validity of our method.

Effects of Feeding Different Protein Supplements on Digestibility, Nitrogen Balance and Calcium and Phosphorus Utilization in Sheep

  • Viswanathan, T.V.;Fontenot, J.P.
    • Asian-Australasian Journal of Animal Sciences
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    • v.22 no.5
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    • pp.643-650
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    • 2009
  • Two metabolism trials were conducted with 24 wether lambs to investigate the effects of feeding crab meal and other protein supplements on N utilization, digestibility and Ca and P balance in sheep. The lambs (avg. BW, 25 kg) were randomly allotted to eight diets in each of two trials. The supplements were: i) none, negative control (NC); ii) soybean meal (SBM), control; iii) supplement based on industrial byproducts of both plant and animal origin (IPA); iv) experimental supplement based on byproducts of animal origin (ESA); v) hydrolyzed supplement No 4. (HESA); vi) commercial supplement based on animal protein (CS), $Pro-Lak^{(R)}$ vii) crab meal (CM); and viii) urea (U). The supplements supplied 33% of the total dietary N (CP, 9.8%; DM basis). Lambs fed the NC diet had lower (p<0.05) DM and OM digestibility. Lower (p<0.05) apparent absorption of N was recorded for the lambs fed the HESA and NC diets. Sheep fed CM had lower Ca absorption compared to SBM. Highest (p<0.05) P absorption was observed for lambs fed CS and CM and lowest for U and NC diets. Sheep fed CM had higher (p<0.05) total VFA concentration (65.7 ${\mu}mol/ml$), compared to those fed ESA, CS, and NC diets (47.3, 49.8, and 49.5 ${\mu}mol/ml$, respectively). Highest (p<0.05) ruminal $NH_3$ N (29.6 mg/dl) was observed in lambs fed the U diet, while those fed the NC diet had the lowest (p<0.05) average value (7.66 mg/dl). Lambs fed the U diet had the highest (p<0.05) blood urea N (10.67 mg/dl). The present study showed that N utilization of diets supplemented with experimental supplements based on feather meal and blood meal; commercial supplement based on animal protein, $Prolak^{(R)}$ supplement based on plant protein and blood meal; and crab meal are comparable with that of soybean meal.

Identification of Highly Transcribed Genes in Japanese Oak Silkworm, Antheraea yamamai, Using PCR-Based cDNA Library

  • Lee, Jin-Sung;Kim, Ki-Hwan;Goo, Tae-Won;Yun, Eun-Young;Kang, Seok-Woo;Suh, Dongs-Sang;Hwang, Jae-Sam
    • International Journal of Industrial Entomology and Biomaterials
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    • v.1 no.2
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    • pp.171-175
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    • 2000
  • Determined sequences of 384 randomly selected clones in a PCR-based cDNA library of Antheraea yamamai could identify expressed sequence tags (ESTs) of highly expressed gene. One EST (fibroin) appeared 15 times, one EST (40S ribosomal protein S18) twelve times, one EST (ribosomal protein S24a) eleven times, ten times (ribosomal protein S8), nine times (60S ribosomal protein L10A), seven times (60S ribosomal protein S15A, S17, S17 and seroin), six times (ribosomal protein S8), five times (ribosomal protein S24, mariner transposase and P8 protein), four times (serpin 2), three times (heat shock protein 70 and poly A binding protein), and the remaining 6 ESTs twice (amylase, KIAA1006, elongation factor-1, transposon mag, translation initiation factor 4C, QM protein, transposase). Therefore, the 94 EST make it possible to identify 24 redundant clones that are candidates for highly expressed genes in posterior silk gland of this insect. The 24 redundant EST clones were identified in GenBank, but none of them was related to A. yamamai, suggesting that there are many unidentified genes which are highly expressed in the A. yamamai genome.

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A Machine Learning Based Method for the Prediction of G Protein-Coupled Receptor-Binding PDZ Domain Proteins

  • Eo, Hae-Seok;Kim, Sungmin;Koo, Hyeyoung;Kim, Won
    • Molecules and Cells
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    • v.27 no.6
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    • pp.629-634
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    • 2009
  • G protein-coupled receptors (GPCRs) are part of multi-protein networks called 'receptosomes'. These GPCR interacting proteins (GIPs) in the receptosomes control the targeting, trafficking and signaling of GPCRs. PDZ domain proteins constitute the largest protein family among the GIPs, and the predominant function of the PDZ domain proteins is to assemble signaling pathway components into close proximity by recognition of the last four C-terminal amino acids of GPCRs. We present here a machine learning based approach for the identification of GPCR-binding PDZ domain proteins. In order to characterize the network of interactions between amino acid residues that contribute to the stability of the PDZ domain-ligand complex and to encode the complex into a feature vector, amino acid contact matrices and physicochemical distance matrix were constructed and adopted. This novel machine learning based method displayed high performance for the identification of PDZ domain-ligand interactions and allowed the identification of novel GPCR-PDZ domain protein interactions.

Facile analysis of protein-protein interactions in living cells by enriched visualization of the p-body

  • Choi, Miri;Baek, Jiyeon;Han, Sang-Bae;Cho, Sungchan
    • BMB Reports
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    • v.51 no.10
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    • pp.526-531
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    • 2018
  • Protein-Protein Interactions (PPIs) play essential roles in diverse biological processes and their misregulations are associated with a wide range of diseases. Especially, the growing attention to PPIs as a new class of therapeutic target is increasing the need for an efficient method of cell-based PPI analysis. Thus, we newly developed a robust PPI assay (SeePPI) based on the co-translocation of interacting proteins to the discrete subcellular compartment 'processing body' (p-body) inside living cells, enabling a facile analysis of PPI by the enriched fluorescent signal. The feasibility and strength of SeePPI (${\underline{S}}ignal$ ${\underline{e}}nhancement$ ${\underline{e}}xclusively$ on ${\underline{P}}-body$ for ${\underline{P}}rotein-protein$ ${\underline{I}}nteraction$) assay was firmly demonstrated with FKBP12/FRB interaction induced by rapamycin within seconds in real-time analysis of living cells, indicating its recapitulation of physiological PPI dynamics. In addition, we applied p53/MDM2 interaction and its dissociation by Nutlin-3 to SeePPI assay and further confirmed that SeePPI was quantitative and well reflected the endogenous PPI. Our SeePPI assay will provide another useful tool to achieve an efficient analysis of PPIs and their modulators in cells.