Relevant bibliographies by topics / Proteina transmembrana

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Proteina transmembrana'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Proteina transmembrana"

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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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Cronet, Philippe, Chris Sander, and Gert Vriend. "Modeling of transmembrane seven helix bundles." "Protein Engineering, Design and Selection" 6, no. 1 (1993): 59–64. http://dx.doi.org/10.1093/protein/6.1.59.

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Uju, Uju, Bustami Ibrahim, Wini Trilaksani, Tati Nurhayati, and Ninik Purbosari. "PROSES RECOVERY DAN PEMEKATAN BAHAN PENYEDAP DARI LIMBAH CAIR PENGOLAHAN RAJUNGAN DENGAN OSMOSIS BALIK." Jurnal Pascapanen dan Bioteknologi Kelautan dan Perikanan 4, no. 2 (2009): 177. http://dx.doi.org/10.15578/jpbkp.v4i2.450.

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Recovery dan pemekatan bahan penyedap dari limbah cair pengolahan rajungan dilakukan dengan membran osmosis balik. Tekanan transmembran (transmembrane pressure) dan suhu memberikan pengaruh signifikan terhadap fluks permeat (flux permeate). Semakin tinggi suhu maka fluks permeat akan semakin meningkat, sedangkan kenaikan tekanan transmembran hanya dapat meningkatkan fluks pada tekanan kurang dari 7.16 kPa. Sementara itu nilai rejeksi protein selama recovery tidak signifikan dipengaruhi oleh parameter operasi tekanan transmembran, suhu, dan pH. Selama pemekatan berlangsung, fluks mengalami penu
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Deane, Caitlin. "Taming transmembrane proteins." Nature Chemical Biology 12, no. 5 (2016): 305. http://dx.doi.org/10.1038/nchembio.2073.

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Cserzö, Miklos, Frank Eisenhaber, Birgit Eisenhaber, and Istvan Simon. "On filtering false positive transmembrane protein predictions." Protein Engineering, Design and Selection 15, no. 9 (2002): 745–52. http://dx.doi.org/10.1093/protein/15.9.745.

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Nicolas, F., M. C. Tiveron, J. Davoust, and H. Reggio. "GPI membrane anchor is determinant in intracellular accumulation of apical plasma membrane proteins in the non-polarized human colon cancer cell line HT-29 18." Journal of Cell Science 107, no. 10 (1994): 2679–89. http://dx.doi.org/10.1242/jcs.107.10.2679.

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We have compared the intracellular localization of plasma membrane proteins anchored either with a transmembrane segment or with a glycosylphosphatidylinositol moiety to estimate the effects of membrane anchor on protein segregation in the non-polarized form of the human colon cancer cell line HT-29 18. We have monitored two endogenous proteins: the carcinoembryonic antigen, a glycosylphosphatidylinositol protein and the transmembrane protein dipeptidyl peptidase IV, and two transfected proteins: the glycosylphosphatidylinositol protein Thy-1 and an engineered transmembrane form of Thy-1. Usin
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Ryu, Hyunil, Ahmed Fuwad, Sunhee Yoon, et al. "Biomimetic Membranes with Transmembrane Proteins: State-of-the-Art in Transmembrane Protein Applications." International Journal of Molecular Sciences 20, no. 6 (2019): 1437. http://dx.doi.org/10.3390/ijms20061437.

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In biological cells, membrane proteins are the most crucial component for the maintenance of cell physiology and processes, including ion transportation, cell signaling, cell adhesion, and recognition of signal molecules. Therefore, researchers have proposed a number of membrane platforms to mimic the biological cell environment for transmembrane protein incorporation. The performance and selectivity of these transmembrane proteins based biomimetic platforms are far superior to those of traditional material platforms, but their lack of stability and scalability rule out their commercial presen
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XU, EMILY W., PAUL KEARNEY, and DANIEL G. BROWN. "THE USE OF FUNCTIONAL DOMAINS TO IMPROVE TRANSMEMBRANE PROTEIN TOPOLOGY PREDICTION." Journal of Bioinformatics and Computational Biology 04, no. 01 (2006): 109–23. http://dx.doi.org/10.1142/s0219720006001722.

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Transmembrane proteins affect vital cellular functions and pathogenesis, and are a focus of drug design. It is difficult to obtain diffraction quality crystals to study transmembrane protein structure. Computational tools for transmembrane protein topology prediction fill in the gap between the abundance of transmembrane proteins and the scarcity of known membrane protein structures. Their prediction accuracy is still inadequate: TMHMM, the current state-of-the-art method, has less than 52% accuracy in topology prediction on one set of transmembrane proteins of known topology. Based on the obs
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Hamasaki, Naotaka, Hiroyuki Kuma, Kazuhisa Ota, Masao Sakaguchi, and Katsuyoshi Mihara. "A new concept in polytopic membrane proteins following from the study of band 3 protein." Biochemistry and Cell Biology 76, no. 5 (1998): 729–33. http://dx.doi.org/10.1139/o98-085.

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In the present communication, we introduce a novel concept in multispanning polytopic membrane proteins revealed by the study of the band 3 protein. The transmembrane domain of such proteins can be divided into three categories, that is, hydrophilic loops connecting transmembrane peptides (category 1), portions embedded by peptide-peptide interactions (category 2), and portions embedded by peptide-lipid interactions (category 3). Category 2 peptides of polytopic membrane proteins were found to stably reside in the lipid bilayer without peptide-lipid interactions that had been thought to be ess
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Cuthbertson, Jonathan M., Declan A. Doyle, and Mark S. P. Sansom. "Transmembrane helix prediction: a comparative evaluation and analysis." Protein Engineering, Design and Selection 18, no. 6 (2005): 295–308. http://dx.doi.org/10.1093/protein/gzi032.

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Dissertations / Theses on the topic "Proteina transmembrana"

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Simón, Vázquez Rosana. "Influencia de la movilidad de las hélices en la función de la bacteriorodopsina." Doctoral thesis, Universitat Autònoma de Barcelona, 2009. http://hdl.handle.net/10803/3612.

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La bacteriorodopsina (BR) es una proteína transportadora de protones que se encuentra en la membrana de la arqueobacteria H. salinarum. Consta de siete hélices α y un cromóforo, el retinal, unido covalentemente a la hélice G. Ha sido muy estudiada debido a su similitud con la rodopsina visual y otras proteínas de la familia de las GPCRs, además de formar parte de uno de los sistemas fotosintéticos más sencillos que se conocen. La BR se activa mediante la absorción de un fotón por parte del retinal, lo que proporciona la energía necesaria para realizar el fotociclo. El resultado final es e
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Käll, Lukas. "Predicting transmembrane topology and signal peptides with hidden Markov models /." Stockholm, 2006. http://diss.kib.ki.se/2006/91-7140-719-7/.

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Kulman, John David. "Transmembrane Gla proteins /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/9271.

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Kelm, Sebastian. "Structural modelling of transmembrane domains." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:b4c9fba9-ee25-469b-8baf-b7c1d70c9d05.

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Membrane proteins represent about one third of all known vertebrate proteins and over half of the current drug targets. Knowledge of their three-dimensional (3D) structure is worth millions of pounds to the pharmaceutical industry. Yet experimental structure elucidation of membrane proteins is a slow and expensive process. In the absence of experimental data, computational modelling tools can be used to close the gap between the numbers of known protein sequences and structures. However, currently available structure prediction tools were developed with globular soluble proteins in mind and pe
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Qureshi, Tabussom. "Studying Transmembrane Helix Interactions in SDS micelles." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34417.

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The importance of interactions between transmembrane domains of integral membrane proteins has been well-established in a range of essential cellular functions. Most integral membrane proteins also possess regions that lie on the exterior of the membrane that may influence the ability of these transmembrane domains to interact. We sought to test this hypothesis by quantifying the energetics of transmembrane helix self-association in the absence and presence of an amphipathic helix that can bind to the membrane surface. The model chosen for this study was the major coat protein (MCP) of M13 ba
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Schroeder, Michael, Annalisa Marsico, Andreas Henschel та ін. "Structural fragment clustering reveals novel structural and functional motifs in α-helical transmembrane proteins". Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-177368.

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Background A large proportion of an organism's genome encodes for membrane proteins. Membrane proteins are important for many cellular processes, and several diseases can be linked to mutations in them. With the tremendous growth of sequence data, there is an increasing need to reliably identify membrane proteins from sequence, to functionally annotate them, and to correctly predict their topology. Results We introduce a technique called structural fragment clustering, which learns sequential motifs from 3D structural fragments. From over 500,000 fragments, we obtain 213 statistically signifi
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Doak, David G. "Peptide models of transmembrane proteins." Thesis, University of Oxford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359445.

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Hedin, Linnea E. "Intra- and intermolecular interactions in proteins : Studies of marginally hydrophobic transmembrane alpha-helices and protein-protein interactions." Doctoral thesis, Stockholms universitet, Institutionen för biokemi och biofysik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-42856.

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Most of the processes in a living cell are carried out by proteins. Depending on the needs of the cell, different proteins will interact and form the molecular machines demanded for the moment. A subset of proteins called integral membrane proteins are responsible for the interchange of matter and information across the biological membrane, the lipid bilayer enveloping and defining the cell. Most of these proteins are co-translationally integrated into the membrane by the Sec translocation machinery. This thesis addresses two questions that have emerged during the last decade. The first concer
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Hagelbäck, Johan, and Kenny Svensson. "Locating transmembrane domains in protein sequences." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2752.

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We have developed a new approach for locating transmembrane domains in protein sequences based on hydrophobicity analysis and backpropagation neural network or k-nearest-neighbor as classifiers. Our system was able to locate over 98% of the transmembrane domains and the total accuracy including overpredictions was above 95%.
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Schroeder, Michael, Annalisa Marsico, Andreas Henschel та ін. "Structural fragment clustering reveals novel structural and functional motifs in α-helical transmembrane proteins". BioMed Central, 2010. https://tud.qucosa.de/id/qucosa%3A28887.

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Background A large proportion of an organism's genome encodes for membrane proteins. Membrane proteins are important for many cellular processes, and several diseases can be linked to mutations in them. With the tremendous growth of sequence data, there is an increasing need to reliably identify membrane proteins from sequence, to functionally annotate them, and to correctly predict their topology. Results We introduce a technique called structural fragment clustering, which learns sequential motifs from 3D structural fragments. From over 500,000 fragments, we obtain 213 statistically signifi
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Books on the topic "Proteina transmembrana"

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Chen, Yvonne Man-Yee. Expression and characterization of the transmembrane domain of phage M13 coat protein as fusion proteins. National Library of Canada, 1995.

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Bradshaw, Ralph A. Functioning of transmembrane receptors in cell signaling. Academic Press, 2011.

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Demmers, Jeroen Adrianus Antonius. Interactions of transmembrane peptides and proteins with lipid membranes studied by mass spectrometry. s.n.], 2002.

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Khan, Amir R. Mutational and structural analysis of second-site transmembrane region mutants of phage M13 coat protein. National Library of Canada, 1993.

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Quick, Michael W. Transmembrane Transporters. Wiley & Sons, Incorporated, John, 2008.

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W, Quick Michael, ed. Transmembrane transporters. Wiley-Liss, 2002.

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Quick, Michael W. Transmembrane Transporters. Wiley & Sons, Incorporated, John, 2003.

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Holland, Eric C. Mechanisms for insertion of transmembrane proteins. 1986.

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R, Ruffolo Robert, and Hollinger Mannfred A, eds. G-protein coupled transmembrane signaling mechanisms. CRC Press, 1995.

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Transmembrane signaling protocols. 2nd ed. Humana Press, 2006.

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Book chapters on the topic "Proteina transmembrana"

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Tusnády, Gábor E., and Dániel Kozma. "Structure Prediction of Transmembrane Proteins." In Protein Modelling. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09976-7_9.

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Gonçalves, João, Helena Soares, Norman L. Eberhardt, et al. "TMEM85 (Transmembrane Protein 85)." In Encyclopedia of Signaling Molecules. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0461-4_532.

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Greenwood, Michael T. "TMEM85 (Transmembrane Protein 85)." In Encyclopedia of Signaling Molecules. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67199-4_532.

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Rath, Arianna, and Charles M. Deber. "Design of Transmembrane Peptides: Coping with Sticky Situations." In Membrane Proteins. Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-583-5_11.

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Nyman, Tomas, Jhansi Kota, and Per O. Ljungdahl. "Ancillary proteins in membrane targeting of transporters." In Molecular Mechanisms Controlling Transmembrane Transport. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b96974.

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Tusnády, Gábor E., and István Simon. "Shedding Light on Transmembrane Topology." In Introduction to Protein Structure Prediction. John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470882207.ch6.

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Hendriks, Wiljan J. A. J., and Frank-D. Böhmer. "Non-transmembrane PTPs in Cancer." In Protein Tyrosine Phosphatases in Cancer. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3649-6_3.

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Randall, Arlo, and Pierre Baldi. "Transmembrane beta-barrel protein structure prediction." In Structural Bioinformatics of Membrane Proteins. Springer Vienna, 2010. http://dx.doi.org/10.1007/978-3-7091-0045-5_5.

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Pirovano, Walter, Sanne Abeln, K. Anton Feenstra, and Jaap Heringa. "Multiple alignment of transmembrane protein sequences." In Structural Bioinformatics of Membrane Proteins. Springer Vienna, 2010. http://dx.doi.org/10.1007/978-3-7091-0045-5_6.

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Spisni, A., V. Comaschi, and L. Franzoni. "The Function of Transmembrane Channels: Ion Transport Studies by 23Na NMR." In Membrane Proteins. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71543-3_6.

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Conference papers on the topic "Proteina transmembrana"

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Tomita, Noriko, Kazuyo Abe, and Makoto Ohta. "Quantitative Analysis of Subunit Mismatch Arrangement in Staphylococcal Gamma-Hemolysin Heteroheptameric Transmembrane Pore." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63645.

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Pore-forming cytolytic proteins distributed in a wide variety of eukaryotic and prokaryotic organisms have been intensively studied in terms of pathophysiological functions and molecular architecture of transmembrane pores. These proteins are also being developed for various analytical applications such as detector of proteins and DNA by engineering the structure of the pore. Staphylococcal gamma-hemolysin (Hlg), a pore-forming protein, which consists of two separate proteins, LukF and Hlg2, has potential to be a useful tool as a multifunctional biosensor. However, the fine structure of the Hl
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Muddana, Hari S., Ramachandra R. Gullapalli, and Peter J. Butler. "Tension Induces Changes in Lipid Lateral Diffusion in Model Fluid-Phase Membranes." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206867.

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Shear stress due to blood flow on endothelial cells elicits numerous responses including G-protein coupled receptor activation and integrin-mediated signaling. Shear-induced change in membrane fluidity has been suggested to be one of the earliest mechanosensing mechanism involved in these processes [1, 2]. Alternatively, it has been suggested that shear forces are transduced through glycocalyx directly to transmembrane proteins and cytoskeleton [3], with very little shear force sensed by the membrane. It is not yet clear whether physiological tensions can alter membrane fluidity significantly.
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Butler-Zimrin, A. E., J. S. Bennett, M. Poncz, et al. "ISOLATION AND CHARACTERIZATION OF cDNA CLONES FOR THE PLATELET MEMBRANE GLYCOPROTEINS IIb and IIIa." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643961.

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The platelet membrane GPIIb/GPIIIa complex on activated platelets contains receptors for fibrinogen, von Willebrand factor, and fibronectin. GPIIb and GPIlia also appear to be members of a family of membrane receptors involved in cell-cell and cell-matrix interactions. To study the structure of GPIIb and GPIIIa, we have constructed an expression library in the vector lambda gtll using mRNA from the HEL cell line and screened it with polyclonal antibody against each platelet protein. HEL cells constitutively express proteins similar to platelet GPIIb and GPIIIa. A 3.2kb GPIIb cDNA clone was ide
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Jewel, Yead, Prashanta Dutta, and Jin Liu. "Coarse-Grained Molecular Dynamics Simulations of Sugar Transport Across Lactose Permease." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-52337.

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Sugar (one of the critical nutrition elements for all life forms) transport across the cell membranes play essential roles in a wide range of living organism. One of the most important active transport (against the sugar concentration) mechanisms is facilitated by the transmembrane transporter proteins, such as the Escherichia coli lactose permease (LacY) proteins. Active transport of sugar molecules with LacY proteins requires a proton gradient and a sequence of complicated protein conformational changes. However, the exact molecular mechanisms and the protein structural information involved
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Brown, Michael C., Ross Chambers, Dale V. Onisk, et al. "Abstract 4325: Monoclonal antibodies to transmembrane proteins." In Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1538-7445.am2013-4325.

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Kazemian, Hassan B., and Syed A. Yusuf. "An ANFIS approach to transmembrane protein prediction." In 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. http://dx.doi.org/10.1109/fuzz-ieee.2014.6891769.

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Wang, Han, Jiuhong Jiang, Qiufen Chen, Chunhua Zhang, Chang Lu, and Zhiqiang Ma. "SeqTMPPI: Sequence-Based Transmembrane Protein Interaction Prediction." In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2020. http://dx.doi.org/10.1109/bibm49941.2020.9313168.

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Kitsas, Ilias K., Stavros M. Panas, and Leontios J. Hadjileontiadis. "Linear discrimination of transmembrane from non-transmembrane segments in proteins using higher-order crossings." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.260716.

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Kitsas, Ilias K., Stavros M. Panas, and Leontios J. Hadjileontiadis. "Linear discrimination of transmembrane from non-transmembrane segments in proteins using higher-order crossings." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4398780.

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Das, Jishnu. "Computational design of soluble variants of transmembrane proteins." In the International Symposium. ACM Press, 2010. http://dx.doi.org/10.1145/1722024.1722033.

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Reports on the topic "Proteina transmembrana"

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Young, Malin M., Kenneth L. Sale, Genetha Anne Gray, and Tamara Gibson Kolda. Optimizing an emperical scoring function for transmembrane protein structure determination. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/918349.

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Bleecker, A. B. Biochemical and molecular analysis of a transmembrane protein kinase from Arabidopsis thaliana. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/5176465.

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Bleecker, A. B. Biochemical and molecular analysis of a transmembrane protein kinase from Arabidopsis thaliana. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/6592071.

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Davis, Ryan W., James A. Brozik, Susan Marie Brozik, et al. Nanoporous microbead supported bilayers: stability, physical characterization, and incorporation of functional transmembrane proteins. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/902211.

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Bleecker, A. B. Biochemical and molecular analysis of a transmembrane protein kinase from Arabidopsis thaliana. Progress report. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10151309.

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Bleecker, A. B. Biochemical and molecular analysis of a transmembrane protein kinase from Arabidopsis thaliana. Progress report, January 1993. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10151596.

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Fleming, Karen G. Energetics and Structure Prediction of the Network of Homo- and Hetero-Oligomers Formed by the Transmembrane Domains of the ErbReceptor Family of Proteins. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada456142.

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