• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.7
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• pp.1162-1166
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• 2013

Proteins from sunflower seeds were hydrolyzed with Alcalase and Flavourzyme to isolate iron-binding peptides. The optimal hydrolysis conditions were determined. Hydrolysates were filtered under a 3 kDa membrane and iron-binding peptides separated from the hydrolysates using ion exchange and gel permeation chromatographic methods. A fraction with the highest iron-binding activity (Fe/peptide, 0.69), F22, was obtained. These results suggest that fractions isolated from sunflower seed protein hydrolysates can be applied toward the production of iron supplements.

• Journal of Applied Biological Chemistry
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• v.53 no.3
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• pp.174-178
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• 2010

Calcium and iron binding peptides were prepared by enzymatic hydrolysis and ultrafiltration of rice bran protein (RBP), which was isolated from defatted rice bran by phytase and xylanase treatment and ultrasonication. The isolated RBP had a molecular weight in the range of 10-66 kDa. The extracted proteins were hydrolyzed using Flavourzyme for 6 hr. After ultrafiltration under 5 kDa as molecular weight, the peptides were fractionated into 4 peaks by Sephadex G-15 gel permeation chromatography, and each fraction was determined for calcium and iron binding activity. As the result, Fl and F2 fractions were the best candidate for calcium and iron chelation, respectively. These results suggest that the calcium and iron binding peptides can be used as functional food additives in food industry.

• Journal of Applied Biological Chemistry
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• v.55 no.4
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• pp.263-266
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• 2012

Isolation of iron and calcium-binding peptides derived from cottonseed meal protein (CMP) hydrolysates was investigated. The degree of hydrolysis of CMP by Flavourzyme was monitored using trinitrobenzenesulfonic acid method and sodium dodecyl sulfate-polyacrylamide gel electrophoresis. Enzymatic hydrolysis of CMP for 12 h was sufficient for the preparation of CMP hydrolysates, and the hydrolysates were membrane-filtered under 3 kDa as a molecular weight. The filtered solution was fractionated using Q-Sepharose fast flow, Sephadex G-15, and reversed phase-high performance liquid chromatography for iron and calcium-binding peptides. As a result, F51 fraction was obtained as the best candidate for calcium and iron chelation, and the isolated iron and calcium-binding peptides can be used as functional food additives, similar to iron and calcium supplements.

• Food Science and Preservation
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• v.20 no.3
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• pp.435-439
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• 2013

As byproducts of chicken slaughtering, chicken feathers are produced and mostly discarded without proper treatment, which results in serious environment pollution. Therefore, the appropriate treatment and utilization of chicken feathers are needed. In particular, chicken feathers can be used as protein sources for the preparation of protein hydrolysates, considering that chicken feathers have a large amount of proteins. In this study, chicken feather protein hydrolysates were prepared and their iron-binding peptides were isolated. Chicken feather protein was extracted from feathers of slaughtered chicken, and its hydrolysates were prepared via hydrolysis with Flavourzyme for 8 h. Then the chicken feather protein hydrolysates were ultra-filtered to obtain small peptide fractions and fractionated using Q-Sepharose and Sephadex G-15 columns to isolate their iron-binding peptides. Two major fractions were produced from each of the Q-Sepharose ion exchange chromatography and the Sephadex G-15 gel filtration chromatography. Among the fractions, the peptide fraction with a high iron-binding activity level, F12, was isolated. These results suggest that chicken feather protein hydrolysates can be used as iron supplements.

• Preventive Nutrition and Food Science
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• v.13 no.4
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• pp.366-369
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• 2008

Proteins secreted from bifidobacteria are believed to play important roles in human intestines via interacting with different host cells. In this respect, proteins secreted from Bifidobacterium pseudocatanulatum BP1, which has been rarely studied, were analyzed by two-dimensional gel electrophoresis (2DE). Using this approach, approx-imately 21 protein spots on a 2DE gel were detected and 10 of these spots were identified by mass spectrometry. Five spots were identified as hypothetical proteins and the remaining 5 spots were identified as a putative iron-side-rophore binding lipoprotein, a short-chain dehydrogenase/reductase SDR, an exonuclease, cytochrome P450 hydroxylase, and a putative dehydrogenase. The identification of secreted putative iron-siderophore binding lipoprotein was highly interesting since it is an important protein that is involved in ferric iron uptake in pathogenic bacteria. This finding could accelerate studies on the probiotic effect of Bifidobacterium by explaining the competition between bifidobacteria and intestinal pathogens for ferric iron.

• Journal of Applied Biological Chemistry
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• v.42 no.2
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• pp.62-65
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• 1999

Iron regulatory proteins (IRPs) 1 and 2 bind with equally high affinity to specific RNA stem-loop sequences known as iron-responsive elements (IRE) which mediate the post-transcriptional regulation of many genes of iron metabolism. To study putative IRE-like sequences in RNA transcripts using the IRP-IRE interaction, Eight known genes from database were selected and the RNA binding activity of IRE-like sequences were compared to IRP-2. Among them, the IRE-like sequence in 3'-untranslational region (UTR) of divalent ration transporter-1 (DCT-1) shows a significant RNA binding affinity. This finding predicts that IRE consensus sequence present within 3'-UTR of DCT-1 might confer the regulation by IRP-2.

• Journal of Nutrition and Health
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• v.29 no.8
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• pp.861-866
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• 1996

Tannins in plant foods and beverages may produce antinutritional or toxic effects although some proteins with high affinity for tannins seem to function as defense mechanism to tannin toxicity. Our objectives were to investigate of tea tannins, iron and protein and to evaluate the role of proteins in tannin effects on iron solubility. Iron solubility in vitro was measured using tea with and without proteins. Mixtures of tea, protein in varying concentrations(either gelatin or bovine serum albumin), and iron(eithe 10 or 50ug/mL) were prepared. Controls contained water in place of tea. Iron bioavailability was assessed by measuring iron solubility in the simulated gastric condition with pepsin digestion. Bound iron was removed by centrifugation and soluble in tea alone. When iron concentratin was 10ug/mL, addition of small amounts of protein to tea dramatically reduced iron solubility, but solubility of iron increased in the tea mixturea as the concentration of protein was increased. The percnetage of iron that precipitated was much greater at 10ug Fe/mL than the values at 50ug Fe/mL suggesting that the iron binding sites on the tea-protein complex was saturated. These results suggest that interactions of iron with tea tannins are influenced by the concentratins of protein and iron.

• Parasites, Hosts and Diseases
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• v.53 no.3
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• pp.335-339
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• 2015

Cryptosporidium andersoni ATP-binding cassette (CaABC) is an important membrane protein involved in substrate transport across the membrane. In this research, the nucleotide binding domain (NBD) of CaABC gene was amplified by PCR, and the eukaryotic expression vector of pEGFP-C1-CaNBD was reconstructed. Then, the recombinant plasmid of pEGFP-C1-CaNBD was transformed into the mouse intestinal epithelial cells (IECs) to study the iron transportation function of CaABC. The results indicated that NBD region of CaABC gene can significantly elevate the transport efficiency of $Ca^{2+}$, $Mg^{2+}$, $K^+$, and $HCO_3{^-}$ in IECs (P<0.05). The significance of this study is to find the ATPase inhibitors for NBD region of CaABC gene and to inhibit ATP binding and nutrient transport of CaABC transporter. Thus, C. andersoni will be killed by inhibition of nutrient uptake. This will open up a new way for treatment of cryptosporidiosis.

• Journal of Periodontal and Implant Science
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• v.29 no.3
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• pp.663-676
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• 1999

Porphyromonas gingivalis, a Gram negative, anaerobic, asaccharolytic rod, is one of the most frequently implicated pathogens in human periodontal disease and has a requirement for hemin for growth. A 30 kDa (heated 24 kDa) hemin-binding protein whose expression is both hemin and iron regulated has recently been purified and characterized in this oral pathogen. This study has identified a hemin-binding P. gingivalis protein by expression of a P. gingivalis genomic library in Escherichia coli, a bacterium which does not require or transport exogenous hemin. A library of genomic DNA fragments from P. gingivalis was constructed in plasmid pUC18, transformed into Escherichia coli strain $DH5{\alpha}$ , and screened for recombinant clones with hemin-binding activity by plating onto hemin-containing agar. Of approximately 10,000 recombinant E. coli colonies screened on LB-amp-hemin agar, 10 exhibited a clearly pigmented phenotype. Each clone contained various insert DNA. The Hind III fragment transferred to the T7 RNA polymerase/promoter expression vector system produced a sligltly smaller (21 kDa) protein, a precursor form, immunoreactive to the antibody against the 24 kDa protein, suggesting that the cloned DNA fragment probably carried an entire gene for the 24 kDa hemin-binding protein.

• Genomics & Informatics
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• v.15 no.4
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• pp.162-169
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• 2017

Metal binding proteins or metallo-proteins are important for the stability of the protein and also serve as co-factors in various functions like controlling metabolism, regulating signal transport, and metal homeostasis. In structural genomics, prediction of metal binding proteins help in the selection of suitable growth medium for overexpression's studies and also help in obtaining the functional protein. Computational prediction using machine learning approach has been widely used in various fields of bioinformatics based on the fact all the information contains in amino acid sequence. In this study, random forest machine learning prediction systems were deployed with simplified amino acid for prediction of individual major metal ion binding sites like copper, calcium, cobalt, iron, magnesium, manganese, nickel, and zinc.