Journal articles: 'High protein'

1

Gray, Jeffrey J. "High-resolution protein–protein docking." Current Opinion in Structural Biology 16, no. 2 (April 2006): 183–93. http://dx.doi.org/10.1016/j.sbi.2006.03.003.

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Huang, Yongqi, and Zhirong Liu. "Do Intrinsically Disordered Proteins Possess High Specificity in Protein-Protein Interactions?" Chemistry - A European Journal 19, no. 14 (February 21, 2013): 4462–67. http://dx.doi.org/10.1002/chem.201203100.

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3

Shirai, T., A. Suzuki, T. Yamane, T. Ashida, T. Kobayashi, J. Hitomi, and S. Ito. "High-resolution crystal structure of M-protease: phylogeny aided analysis of the high-alkaline adaptation mechanism." Protein Engineering Design and Selection 10, no. 6 (June 1, 1997): 627–34. http://dx.doi.org/10.1093/protein/10.6.627.

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4

Nakasako, Masayoshi. "Water–protein interactions from high–resolution protein crystallography." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 359, no. 1448 (August 29, 2004): 1191–206. http://dx.doi.org/10.1098/rstb.2004.1498.

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To understand the role of water in life at molecular and atomic levels, structures and interactions at the protein–water interface have been investigated by cryogenic X–ray crystallography. The method enabled a much clearer visualization of definite hydration sites on the protein surface than at ambient temperature. Using the structural models of proteins, including several hydration water molecules, the characteristics in hydration structures were systematically analysed for the amount, the interaction geometries between water molecules and proteins, and the local and global distribution of water molecules on the surface of proteins. The tetrahedral hydrogen–bond geometry of water molecules in bulk solvent was retained at the interface and enabled the extension of a three–dimensional chain connection of a hydrogen–bond network among hydration water molecules and polar protein atoms over the entire surface of proteins. Networks of hydrogen bonds were quite flexible to accommodate and/or to regulate the conformational changes of proteins such as domain motions. The present experimental results may have profound implications in the understanding of the physico–chemical principles governing the dynamics of proteins in an aqueous environment and a discussion of why water is essential to life at a molecular level.

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Scholtens, Denise, and Robert Gentleman. "Making Sense of High-Throughput Protein-Protein Interaction Data." Statistical Applications in Genetics and Molecular Biology 3, no. 1 (January 3, 2005): 1–31. http://dx.doi.org/10.2202/1544-6115.1107.

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Accurate systems biology modeling requires a complete catalog of protein complexes and their constituent proteins. We discuss a graph-theoretic/statistical algorithm for local dynamic modeling of protein complexes using data from affinity purification-mass spectrometry experiments. The algorithm readily accommodates multicomplex membership by individual proteins and dynamic complex composition, two biological realities not accounted for in existing topological descriptions of the overall protein network. A likelihood-based objective function guides the protein complex modeling algorithm. With an accurate complex membership catalog in place, systems biology can proceed with greater precision.

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Khait, R., and G. Schreiber. "FRETex: a FRET-based, high-throughput technique to analyze protein-protein interactions." Protein Engineering Design and Selection 25, no. 11 (September 25, 2012): 681–87. http://dx.doi.org/10.1093/protein/gzs067.

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Becher, Karen, and Julie Prinsen. "High-Protein Cereals." Journal of Renal Nutrition 17, no. 5 (September 2007): e37-e38. http://dx.doi.org/10.1053/j.jrn.2007.06.003.

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8

Baderman, Natalie. "High-protein spaghetti." Trends in Biotechnology 19, no. 10 (October 2001): 381. http://dx.doi.org/10.1016/s0167-7799(01)01838-8.

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9

Brown, Laura D., Kendra Hendrickson, Marc L. Masor, and William W. Hay. "High-Protein Formulas." Clinics in Perinatology 41, no. 2 (June 2014): 383–403. http://dx.doi.org/10.1016/j.clp.2014.02.002.

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10

Patel, Dr Vihang B., Dr Haresh Panchal, and DR BHAVESH Patel. "Study of High Sensitive C Reactive Protein [HsCRP] in Obesity." International Journal of Scientific Research 1, no. 7 (June 1, 2012): 152–53. http://dx.doi.org/10.15373/22778179/dec2012/55.

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11

Moravec, T., and N. Čeřovská. "The use of legume seed for expression and storage of high value proteins." Czech Journal of Genetics and Plant Breeding 50, No. 2 (June 12, 2014): 69–76. http://dx.doi.org/10.17221/143/2013-cjgpb.

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There is an ever growing need for the use of recombinant proteins both in medicine and industry; however their widespread use is limited by the lack of production capacity. Transgenic plants offer the possibility to produce and deliver recombinant proteins on a large scale with low production costs and with minimal purification or enrichment requirements. Among crop plants, legumes have great potential as a protein production platform because of their naturally high protein content, nutritional value, independence of N-nutrition, pollen containment, available processing technology, storage stability etc. There have been several proof-of-principle attempts to produce large amounts of recombinant protein in seed of both soybean and pea, however, our knowledge of processes regulating the foreign protein production and deposition is still limited.

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12

Yu, Xueping, Anders Wallqvist, and Jaques Reifman. "Inferring high-confidence human protein-protein interactions." BMC Bioinformatics 13, no. 1 (2012): 79. http://dx.doi.org/10.1186/1471-2105-13-79.

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13

Pons, Carles, Daniel Jiménez-González, Cecilia González-Álvarez, Harald Servat, Daniel Cabrera-Benítez, Xavier Aguilar, and Juan Fernández-Recio. "Cell-Dock: high-performance protein–protein docking." Bioinformatics 28, no. 18 (July 19, 2012): 2394–96. http://dx.doi.org/10.1093/bioinformatics/bts454.

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14

Messia, Maria Cristina, Francesca Cuomo, Luisa Falasca, Maria Carmela Trivisonno, Elisa De Arcangelis, and Emanuele Marconi. "Nutritional and Technological Quality of High Protein Pasta." Foods 10, no. 3 (March 11, 2021): 589. http://dx.doi.org/10.3390/foods10030589.

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Pasta has an important role in human nutrition for its high content of complex carbohydrates and its widespread use. It can be an efficient delivery system or carrier of non-traditional raw material, including additional health-promoting ingredients. The partial replacement of semolina with high-protein raw materials leads to the improvement of the biological value of pasta proteins. In order to obtain pasta with high nutritional protein value and with excellent cooking properties, various recipes have been formulated with different percentages of semolina and unconventional high-protein raw materials (peas and soy isolate proteins, egg white, whey proteins and Spirulina platensis). High-protein pasta was produced using a pasta making pilot plant and the nutritional quality (protein content and quality) and sensorial properties were assessed. All experimental pastas showed optimal performances. Pasta prepared with pea protein isolate, whey proteins and Spirulina platensis showed improved chemical score and digestible indispensable amino acid scores, an eye-catching color, and an excellent cooking quality.

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15

Garidel, Patrick, Alexander B. Kuhn, Lars V. Schäfer, Anne R. Karow-Zwick, and Michaela Blech. "High-concentration protein formulations: How high is high?" European Journal of Pharmaceutics and Biopharmaceutics 119 (October 2017): 353–60. http://dx.doi.org/10.1016/j.ejpb.2017.06.029.

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16

Salunke, Prafulla, Athira Syamala, and Lloyd E. Metzger. "Microstructural Characterization of High-Protein Dairy Powders." Dairy 4, no. 3 (August 4, 2023): 462–81. http://dx.doi.org/10.3390/dairy4030031.

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Dairy proteins are potential and multipurpose ingredients used to prepare various food products. It exhibits many beneficial functionalities and bioactivities in the processing of food products. All the functionalities of different dairy proteins depend on their peculiar structural characteristics. So, the present study aimed to characterize high-protein powders with different matrices (milk protein concentrate (MPC), rennet casein (RCN), micellar casein concentrate (MCC), whey protein isolate (WPI), and native whey concentrate (NWC)) for their composition, handling, and reconstitution properties, and microstructure and compared them with whole milk powder (WMP) and skim milk powder (SMP). The bulk density of the high-protein powders was significantly (p < 0.05) lower than WMP and NFDM. Due to the low bulk density of the high-protein powders, the wettability of these powders in the water was very high. Microstructural analysis of powders by scanning electron microscopy reveals that the high-protein powder had tetrahedron-to-polyhedron-shaped particles depending on the protein level. The idea regarding the powder’s morphology might be helpful for further improvement in the production processes to modify the functional properties of high-protein milk powders.

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17

MacBeath, Gavin, and Stuart L. Schreiber. "Printing Proteins as Microarrays for High-Throughput Function Determination." Science 289, no. 5485 (September 8, 2000): 1760–63. http://dx.doi.org/10.1126/science.289.5485.1760.

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Systematic efforts are currently under way to construct defined sets of cloned genes for high-throughput expression and purification of recombinant proteins. To facilitate subsequent studies of protein function, we have developed miniaturized assays that accommodate extremely low sample volumes and enable the rapid, simultaneous processing of thousands of proteins. A high-precision robot designed to manufacture complementary DNA microarrays was used to spot proteins onto chemically derivatized glass slides at extremely high spatial densities. The proteins attached covalently to the slide surface yet retained their ability to interact specifically with other proteins, or with small molecules, in solution. Three applications for protein microarrays were demonstrated: screening for protein-protein interactions, identifying the substrates of protein kinases, and identifying the protein targets of small molecules.

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18

Rokeach, Luis A., Jeanne A. Haselby, and Sallie O. Hoch. "High-level bacterial expression, purification and characterization of human calreticulin." "Protein Engineering, Design and Selection" 4, no. 8 (1991): 981–87. http://dx.doi.org/10.1093/protein/4.8.981.

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19

Toldrá, Fidel, and Leticia Mora. "Proteins and Bioactive Peptides in High Protein Content Foods." Foods 10, no. 6 (May 25, 2021): 1186. http://dx.doi.org/10.3390/foods10061186.

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Foods and their industry by-products constitute very good sources of bioactive peptides, which can be naturally generated during processing but are also extensively produced through enzymatic hydrolysis, microbial fermentation, and even during gastrointestinal digestion in the human body [...]

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20

Joy, Maliackal Poulo, Amy Brock, Donald E. Ingber, and Sui Huang. "High-Betweenness Proteins in the Yeast Protein Interaction Network." Journal of Biomedicine and Biotechnology 2005, no. 2 (2005): 96–103. http://dx.doi.org/10.1155/jbb.2005.96.

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Structural features found in biomolecular networks that are absent in random networks produced by simple algorithms can provide insight into the function and evolution of cell regulatory networks. Here we analyze “betweenness” of network nodes, a graph theoretical centrality measure, in the yeast protein interaction network. Proteins that have high betweenness, but low connectivity (degree), were found to be abundant in the yeast proteome. This finding is not explained by algorithms proposed to explain the scale-free property of protein interaction networks, where low-connectivity proteins also have low betweenness. These data suggest the existence of some modular organization of the network, and that the high-betweenness, low-connectivity proteins may act as important links between these modules. We found that proteins with high betweenness are more likely to be essential and that evolutionary age of proteins is positively correlated with betweenness. By comparing different models of genome evolution that generate scale-free networks, we show that rewiring of interactions via mutation is an important factor in the production of such proteins. The evolutionary and functional significance of these observations are discussed.

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21

Condés, María Cecilia, María Cristina Añón, and Adriana Noemí Mauri. "Amaranth protein films prepared with high-pressure treated proteins." Journal of Food Engineering 166 (December 2015): 38–44. http://dx.doi.org/10.1016/j.jfoodeng.2015.05.005.

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22

Hiraki, M., R. Kato, Y. Yamada, N. Matsugaki, N. Igarashi, and S. Wakatsuki. "High-throughput protein crystallization." Acta Crystallographica Section A Foundations of Crystallography 61, a1 (August 23, 2005): c149—c150. http://dx.doi.org/10.1107/s0108767305093633.

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23

Savage, Neil. "Proteomics: High-protein research." Nature 527, no. 7576 (November 2015): S6—S7. http://dx.doi.org/10.1038/527s6a.

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24

Doerr, Allison. "High-speed protein crystallography." Nature Methods 15, no. 11 (October 30, 2018): 855. http://dx.doi.org/10.1038/s41592-018-0205-x.

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25

Ionita, Mihaela G., Louise M. Catanzariti, Michiel L. Bots, Jean-Paul P. M. de Vries, Frans L. Moll, Siu Kwan Sze, Gerard Pasterkamp, and Dominique P. V. de Kleijn. "High Myeloid-Related Protein." Stroke 41, no. 9 (September 2010): 2010–15. http://dx.doi.org/10.1161/strokeaha.110.582122.

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26

Liu, Xiangyu, Mohit Kumar, Annalisa Calo’, Edoardo Albisetti, Xiaouri Zheng, Kylie B. Manning, Elisabeth Elacqua, Marcus Weck, Rein V. Ulijn, and Elisa Riedo. "High-throughput protein nanopatterning." Faraday Discussions 219 (2019): 33–43. http://dx.doi.org/10.1039/c9fd00025a.

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27

Devaraj, Susan. "High-Protein Frozen Desserts." Journal of Renal Nutrition 25, no. 4 (July 2015): e23-e29. http://dx.doi.org/10.1053/j.jrn.2015.04.001.

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28

Stevens, Raymond C. "High-throughput protein crystallization." Current Opinion in Structural Biology 10, no. 5 (October 2000): 558–63. http://dx.doi.org/10.1016/s0959-440x(00)00131-7.

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29

Pham, Victoria, Jake Tropea, Suzy Wong, James Quach, and William J. Henzel. "High-Throughput Protein Sequencing." Analytical Chemistry 75, no. 4 (February 2003): 875–82. http://dx.doi.org/10.1021/ac0206317.

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30

AZARANI, A., B. SEGELKE, D. TOPPANI, and T. LEKIN. "High-Throughput Protein Crystallography." Journal of the Association for Laboratory Automation 11, no. 1 (February 2006): 7–15. http://dx.doi.org/10.1016/j.jala.2005.09.004.

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31

Muers, Mary. "High-throughput protein interactions." Nature Reviews Genetics 14, no. 5 (April 18, 2013): 305. http://dx.doi.org/10.1038/nrg3492.

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32

Hui, Raymond, and Aled Edwards. "High-throughput protein crystallization." Journal of Structural Biology 142, no. 1 (April 2003): 154–61. http://dx.doi.org/10.1016/s1047-8477(03)00046-7.

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33

Yu, Xueping, Joseph Ivanic, Vesna Memišević, Anders Wallqvist, and Jaques Reifman. "Categorizing Biases in High-Confidence High-Throughput Protein-Protein Interaction Data Sets." Molecular & Cellular Proteomics 10, no. 12 (August 29, 2011): M111.012500. http://dx.doi.org/10.1074/mcp.m111.012500.

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34

Nieuwenhuijsen, Bart W., Youping Huang, Yuren Wang, Fernando Ramirez, Gary Kalgaonkar, and Kathleen H. Young. "A Dual Luciferase Multiplexed High-Throughput Screening Platform for Protein-Protein Interactions." Journal of Biomolecular Screening 8, no. 6 (December 2003): 676–84. http://dx.doi.org/10.1177/1087057103258287.

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To study the biology of regulators of G-protein signaling (RGS) proteins and to facilitate the identification of small molecule modulators of RGS proteins, the authors recently developed an advanced yeast 2-hybrid (YTH) assay format for GαZand RGS-Z1. Moreover, they describe the development of a multiplexed luciferase-based assay that has been successfully adapted to screen large numbers of small molecule modulators of protein-protein interactions. They generated and evaluated 2 different luciferase reporter gene systems for YTH interactions, a Gal4 responsive firefly luciferase reporter gene and a Gal4 responsive Renilla luciferase reporter gene. Both the firefly and Renilla luciferase reporter genes demonstrated a 40-to 50-fold increase in luminescence in strains expressing interacting YTH fusion proteins versus negative control strains. Because the firefly and Renilla luciferase proteins have different substrate specificity, the assays were multiplexed. The multiplexed luciferase-based YTH platform adds speed, sensitivity, simplicity, quantification, and efficiency to YTH high-throughput applications and therefore greatly facilitates the identification of small molecule modulators of protein-protein interactions as tools or potential leads for drug discovery efforts.

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35

Bessette, Paul H., Jeffrey J. Rice, and Patrick S. Daugherty. "Rapid isolation of high-affinity protein binding peptides using bacterial display." Protein Engineering, Design and Selection 17, no. 10 (October 2004): 731–39. http://dx.doi.org/10.1093/protein/gzh084.

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36

Ferrer, Marc, Jim Maiolo, Patricia Kratz, Jessica L. Jackowski, Dennis J. Murphy, Simon Delagrave, and James Inglese. "Directed evolution of PDZ variants to generate high-affinity detection reagents." Protein Engineering, Design and Selection 18, no. 4 (April 2005): 165–73. http://dx.doi.org/10.1093/protein/gzi018.

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37

Park, Sheldon, Yao Xu, Xiaoran Fu Stowell, Feng Gai, Jeffery G. Saven, and Eric T. Boder. "Limitations of yeast surface display in engineering proteins of high thermostability." Protein Engineering, Design and Selection 19, no. 5 (March 14, 2006): 211–17. http://dx.doi.org/10.1093/protein/gzl003.

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38

Younger, David, Stephanie Berger, David Baker, and Eric Klavins. "High-throughput characterization of protein–protein interactions by reprogramming yeast mating." Proceedings of the National Academy of Sciences 114, no. 46 (October 31, 2017): 12166–71. http://dx.doi.org/10.1073/pnas.1705867114.

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High-throughput methods for screening protein–protein interactions enable the rapid characterization of engineered binding proteins and interaction networks. While existing approaches are powerful, none allow quantitative library-on-library characterization of protein interactions in a modifiable extracellular environment. Here, we show that sexual agglutination ofSaccharomyces cerevisiaecan be reprogrammed to link interaction strength with mating efficiency using synthetic agglutination (SynAg). Validation of SynAg with 89 previously characterized interactions shows a log-linear relationship between mating efficiency and protein binding strength for interactions withKds ranging from below 500 pM to above 300 μM. Using induced chromosomal translocation to pair barcodes representing binding proteins, thousands of distinct interactions can be screened in a single pot. We demonstrate the ability to characterize protein interaction networks in a modifiable environment by introducing a soluble peptide that selectively disrupts a subset of interactions in a representative network by up to 800-fold. SynAg enables the high-throughput, quantitative characterization of protein–protein interaction networks in a fully defined extracellular environment at a library-on-library scale.

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39

Ewald, Maxime, Mikihiro Shibata, Takayuki Uchihashi, Hideki Kandori, and Toshio Ando. "3F1058 OBSERVATION OF TRANSMEMBRANE PROTEIN BY HIGH SPEED ATOMIC FORCE MICROSCOPY : BACTERIORHODOPSIN D85S MUTANT, A CHLORIDE PUMP(Membrane Proteins,Oral Presentation)." Seibutsu Butsuri 52, supplement (2012): S67. http://dx.doi.org/10.2142/biophys.52.s67_3.

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40

van der Laan, J. M., A. V. Teplyakov, H. Kelders, K. H. Kalk, O. Misset, L. J. S. M. Mulleners, and B. W. Dijkstra. "Crystal structure of the high-alkaline serine protease PB92 from Bacillus alcalophilus." "Protein Engineering, Design and Selection" 5, no. 5 (1992): 405–11. http://dx.doi.org/10.1093/protein/5.5.405.

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41

Eltis, Lindsay D., Sakura G. Iwagami, and Michael Smith. "Hyperexpression of a synthetic gene encoding a high potential iron sulfur protein." "Protein Engineering, Design and Selection" 7, no. 9 (1994): 1145–50. http://dx.doi.org/10.1093/protein/7.9.1145.

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42

Wozniak-Knopp, Gordana, Gerhard Stadlmayr, Jan Walther Perthold, Katharina Stadlbauer, Maximilian Woisetschläger, Haijun Sun, and Florian Rüker. "Designing Fcabs: well-expressed and stable high affinity antigen-binding Fc fragments." Protein Engineering, Design and Selection 30, no. 9 (September 1, 2017): 657–71. http://dx.doi.org/10.1093/protein/gzx042.

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43

Nguyen, Annalee W., Kevin C. Le, and Jennifer A. Maynard. "Identification of high affinity HER2 binding antibodies using CHO Fab surface display." Protein Engineering, Design and Selection 31, no. 3 (March 1, 2018): 91–101. http://dx.doi.org/10.1093/protein/gzy004.

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44

Sakanyan, Vehary. "High-throughput and multiplexed protein array technology: protein–DNA and protein–protein interactions." Journal of Chromatography B 815, no. 1-2 (February 5, 2005): 77–95. http://dx.doi.org/10.1016/j.jchromb.2004.08.045.

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45

Kim, Yu-na, and Yongwon Jung. "Artificial supramolecular protein assemblies as functional high-order protein scaffolds." Organic & Biomolecular Chemistry 14, no. 24 (2016): 5352–56. http://dx.doi.org/10.1039/c6ob00116e.

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Artificial supramolecular protein assemblies can serve as novel high-order scaffolds that can display various functional proteins with defined valencies and organization, offering unprecedented functional bio-architectures.

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46

Ivanic, Joseph, Xueping Yu, Anders Wallqvist, and Jaques Reifman. "Influence of Protein Abundance on High-Throughput Protein-Protein Interaction Detection." PLoS ONE 4, no. 6 (June 5, 2009): e5815. http://dx.doi.org/10.1371/journal.pone.0005815.

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47

Kaushansky, Alexis, John E. Allen, Andrew Gordus, Michael A. Stiffler, Ethan S. Karp, Bryan H. Chang, and Gavin MacBeath. "Quantifying protein–protein interactions in high throughput using protein domain microarrays." Nature Protocols 5, no. 4 (April 2010): 773–90. http://dx.doi.org/10.1038/nprot.2010.36.

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48

Singh, Jaspal, Sangeeta Prakash, Bhesh Bhandari, and Nidhi Bansal. "Ultra high temperature (UHT) processability of high protein dispersions prepared from milk protein-soy protein hydrolysate mixtures." LWT 126 (May 2020): 109308. http://dx.doi.org/10.1016/j.lwt.2020.109308.

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49

PATIL, A. B., and J. V. GANU. "High sensitive C- reactive protein and microalbumin in type 2 diabetes mellitus." Asian Pacific Journal of Health Sciences 1, no. 4 (October 2014): 319–21. http://dx.doi.org/10.21276/apjhs.2014.1.4.4.

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50

Lim, Sungwon, Bob Chen, Mihalis S. Kariolis, Ivan K. Dimov, Thomas M. Baer, and Jennifer R. Cochran. "Engineering High Affinity Protein–Protein Interactions Using a High-Throughput Microcapillary Array Platform." ACS Chemical Biology 12, no. 2 (December 20, 2016): 336–41. http://dx.doi.org/10.1021/acschembio.6b00794.

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Journal articles on the topic 'High protein'

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