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Статті в журналах з теми "Structural Classification of Proteins (SCOP)"
Barton, Geoffrey J. "scop: structural classification of proteins." Trends in Biochemical Sciences 19, no. 12 (December 1994): 554–55. http://dx.doi.org/10.1016/0968-0004(94)90060-4.
Повний текст джерелаHubbard, T. J. P., B. Ailey, S. E. Brenner, A. G. Murzin, and C. Chothia. "SCOP: a Structural Classification of Proteins database." Nucleic Acids Research 27, no. 1 (January 1, 1999): 254–56. http://dx.doi.org/10.1093/nar/27.1.254.
Повний текст джерелаLo Conte, L. "SCOP: a Structural Classification of Proteins database." Nucleic Acids Research 28, no. 1 (January 1, 2000): 257–59. http://dx.doi.org/10.1093/nar/28.1.257.
Повний текст джерелаHubbard, T. J. P., A. G. Murzin, S. E. Brenner, and C. Chothia. "SCOP: a Structural Classification of Proteins database." Nucleic Acids Research 25, no. 1 (January 1, 1997): 236–39. http://dx.doi.org/10.1093/nar/25.1.236.
Повний текст джерелаANGADI, ULAVAPPA B., and M. VENKATESULU. "FUZZYART NEURAL NETWORK FOR PROTEIN CLASSIFICATION." Journal of Bioinformatics and Computational Biology 08, no. 05 (October 2010): 825–41. http://dx.doi.org/10.1142/s0219720010004951.
Повний текст джерелаFox, Naomi K., Steven E. Brenner, and John-Marc Chandonia. "SCOPe: Structural Classification of Proteins—extended, integrating SCOP and ASTRAL data and classification of new structures." Nucleic Acids Research 42, no. D1 (December 3, 2013): D304—D309. http://dx.doi.org/10.1093/nar/gkt1240.
Повний текст джерелаAndreeva, Antonina, Eugene Kulesha, Julian Gough, and Alexey G. Murzin. "The SCOP database in 2020: expanded classification of representative family and superfamily domains of known protein structures." Nucleic Acids Research 48, no. D1 (November 14, 2019): D376—D382. http://dx.doi.org/10.1093/nar/gkz1064.
Повний текст джерелаAndreeva, Antonina. "Lessons from making the Structural Classification of Proteins (SCOP) and their implications for protein structure modelling." Biochemical Society Transactions 44, no. 3 (June 9, 2016): 937–43. http://dx.doi.org/10.1042/bst20160053.
Повний текст джерелаHubbard, Tim J. P., Bart Ailey, Steven E. Brenner, Alexey G. Murzin, and Cyrus Chothia. "SCOP, Structural Classification of Proteins Database: Applications to Evaluation of the Effectiveness of Sequence Alignment Methods and Statistics of Protein Structural Data." Acta Crystallographica Section D Biological Crystallography 54, no. 6 (November 1, 1998): 1147–54. http://dx.doi.org/10.1107/s0907444998009172.
Повний текст джерелаNewaz, Khalique, Mahboobeh Ghalehnovi, Arash Rahnama, Panos J. Antsaklis, and Tijana Milenković. "Network-based protein structural classification." Royal Society Open Science 7, no. 6 (June 2020): 191461. http://dx.doi.org/10.1098/rsos.191461.
Повний текст джерелаДисертації з теми "Structural Classification of Proteins (SCOP)"
Valenta, Martin. "Predikce proteinových domén." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236163.
Повний текст джерелаSchroeder, Michael, Annalisa Marsico, Andreas Henschel, Christof Winter, Anne Tuukkanen, Boris Vassilev та Kerstin Scheubert. "Structural fragment clustering reveals novel structural and functional motifs in α-helical transmembrane proteins". BioMed Central, 2010. https://tud.qucosa.de/id/qucosa%3A28887.
Повний текст джерелаTeyra, i. Canaleta Joan. "Entwicklung von rechnergestützten Ansätzen für strukturelle Klassifikation, Analyse und Vorhersage von molekularen Erkennungsregionen in Proteinen." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-62163.
Повний текст джерелаShiou-Ling, Wang, and 王秀綾. "Structural Signature of Protein Folds for SCOP Classification:A Building-Block-based Hidden Markov Model." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/30690976971548675536.
Повний текст джерела國立臺灣大學
醫學工程學研究所
91
Protein folds follow certain stereo-chemical or functional constrains to adopt particular three-dimensional configurations. These constrains, which might be local or global in the spatial arrangement of protein structures, may contribute significantly their uniqueness. In our study, we aim to find fold signatures composed of features in terms of building blocks of 5-residue fragments presented in one-dimensional string of structural alphabets. (One alphabet is a building block). We then trained these strings of structural alphabets using Hidden Markov Model to uncover their grammars, i.e. signature of structural fold. Such an approach is similar to that used widely to construct profiles of protein sequence families. Our study focused on discovering structural patterns or signatures of 43 populated folds in SCOP, a prestigious database warehousing and classifying proteins structures. The accuracy of our result, which is defined as the rate of being correctly classification against SCOP, is 71%. For a number of well known folds, including Globin-like, Immunoglobuilin-like beta-sandwich and TIM barrel, we achieved > 90% correct classification. Our work showed that structural signature can be extracted for protein folds even though they were broken into local fragments and transformed into one-dimensional strings.
Kaiser, Florian. "Structural Bioinformatics to Understand the Origin of the Genetic Code: Structural Motif Detection in Aminoacyl-tRNA Synthetases." Doctoral thesis, 2018. https://tud.qucosa.de/id/qucosa%3A31991.
Повний текст джерелаSontheimer, Jana. "Functional characterization of proteins involved in cell cycle by structure-based computational methods." Doctoral thesis, 2011. https://tud.qucosa.de/id/qucosa%3A25989.
Повний текст джерелаTowse, Clare-Louise, and V. Daggett. "When a domain is not a domain, and why it is important to properly filter proteins in databases: conflicting definitions and fold classification systems for structural domains make filtering of such databases imperative." 2012. http://hdl.handle.net/10454/11548.
Повний текст джерелаMembership in a protein domain database does not a domain make; a feature we realized when generating a consensus view of protein fold space with our consensus domain dictionary (CDD). This dictionary was used to select representative structures for characterization of the protein dynameome: the Dynameomics initiative. Through this endeavor we rejected a surprising 40% of the 1,695 folds in the CDD as being non-autonomous folding units. Although some of this was due to the challenges of grouping similar fold topologies, the dissonance between the cataloguing and structural qualification of protein domains remains surprising. Another potential factor is previously overlooked intrinsic disorder; predictions suggest that 40% of proteins have either local or global disorder. One thing is clear, filtering a structural database and ensuring a consistent definition for protein domains is crucial, and caution is prescribed when generalizations of globular domains are drawn from unfiltered protein domain datasets.
NIH
Teyra, i. Canaleta Joan [Verfasser]. "Entwicklung von rechnergestützten Ansätzen für strukturelle Klassifikation, Analyse und Vorhersage von molekularen Erkennungsregionen in Proteinen = Development of computational approaches for structural classification, analysis and prediction of molecular recognition regions in proteins / von Joan Teyra i Canaleta." 2010. http://d-nb.info/101069054X/34.
Повний текст джерелаЧастини книг з теми "Structural Classification of Proteins (SCOP)"
Cantoni, Virginio, Alessio Ferone, Alfredo Petrosino, and Gabriella Sanniti di Baja. "A Supervised Approach to 3D Structural Classification of Proteins." In New Trends in Image Analysis and Processing – ICIAP 2013, 326–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41190-8_35.
Повний текст джерелаAndreeva, Antonina. "Classification of Proteins: Available Structural Space for Molecular Modeling." In Methods in Molecular Biology, 1–31. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-588-6_1.
Повний текст джерелаShi, Jian-Yu, and Yan-Ning Zhang. "Fast SCOP Classification of Structural Class and Fold Using Secondary Structure Mining in Distance Matrix." In Pattern Recognition in Bioinformatics, 344–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04031-3_30.
Повний текст джерелаSchuchhardt, Johannes, Gisbert Schneider, Joachim Reichelt, Dietmar Schomburg, and Paul Wrede. "Classification of Local Protein Structural Motifs by Kohonen Networks." In Bioinformatics: From Nucleic Acids and Proteins to Cell Metabolism, 85–92. Weinheim, Germany: Wiley-VCH Verlag GmbH, 2007. http://dx.doi.org/10.1002/9783527615193.ch7.
Повний текст джерелаKalajdziski, Slobodan, Bojan Pepik, Ilinka Ivanovska, Georgina Mirceva, Kire Trivodaliev, and Danco Davcev. "Automated Structural Classification of Proteins by Using Decision Trees and Structural Protein Features." In ICT Innovations 2009, 135–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10781-8_15.
Повний текст джерела"Structural Classification of Proteins." In Encyclopedia of Genetics, Genomics, Proteomics and Informatics, 1891. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6754-9_16266.
Повний текст джерелаSj��lander, Kimmen, and Chelsea Specht. "Functional prediction through phylogenetic inference and structural classification of proteins." In Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/047001153x.g306320.
Повний текст джерелаDASSA, ELIE. "PHYLOGENETIC AND FUNCTIONAL CLASSIFICATION OF ABC (ATP-BINDING CASSETTE) SYSTEMS**ABSCISSE, a database of ABC systems, which includes functional, sequence and structural information, is available on the internet at the following address: www.pasteur.fr/recherche/unites/pmtg/abc/index.html." In ABC Proteins, 3–35. Elsevier, 2003. http://dx.doi.org/10.1016/b978-012352551-2/50002-0.
Повний текст джерелаFackovec, Boris, and Jiri Vondrasek. "Decomposition of Intramolecular Interactions Between Amino-Acids in Globular Proteins - A Consequence for Structural Classes of Proteins and Methods of Their Classification." In Systems and Computational Biology - Molecular and Cellular Experimental Systems. InTech, 2011. http://dx.doi.org/10.5772/20277.
Повний текст джерелаM. Harvey, Evan, Murad Almasri, and Hugo R. Martinez. "Genetics of Cardiomyopathy." In Cardiomyopathy - Disease of the Heart Muscle [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97010.
Повний текст джерелаТези доповідей конференцій з теми "Structural Classification of Proteins (SCOP)"
Casagrande, A., and F. Fabris. "SCOP family fingerprints: An information theoretic approach to structural classification of protein domains." In 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). IEEE, 2011. http://dx.doi.org/10.1109/bibmw.2011.6112408.
Повний текст джерелаNguyen, Thanh, Abbas Khosravi, Douglas Creighton, and Saeid Nahavandi. "Structural classification of proteins through amino acid sequence using interval type-2 fuzzy logic system." In 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. http://dx.doi.org/10.1109/fuzz-ieee.2014.6891741.
Повний текст джерелаBarucci, Andrea, Cristiano D'Andrea, Edoardo Farnesi, Martina Banchelli, Chiara Amicucci, Marella De Angelis, Chiara Marzi, Roberto Pini, Byungil Hwang, and Paolo Matteini. "A Machine Learning approach to the classification of chemo-structural determinants in label-free SERS detection of proteins." In 2022 Italian Conference on Optics and Photonics (ICOP). IEEE, 2022. http://dx.doi.org/10.1109/icop56156.2022.9911735.
Повний текст джерела