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Relevant bibliographies by topics / Enzyme classification

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Academic literature on the topic 'Enzyme classification'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Enzyme classification"

1

Chehili, Hamza, Salah Eddine Aliouane, Abdelhafedh Bendahmane, and Mohamed Abdelhafid Hamidechi. "Deepenz: prediction of enzyme classification by deep learning." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 2 (2021): 1108. http://dx.doi.org/10.11591/ijeecs.v22.i2.pp1108-1115.

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<span>Previously, the classification of enzymes was carried out by traditional heuritic methods, however, due to the rapid increase in the number of enzymes being discovered, new methods aimed to classify them are required. Their goal is to increase the speed of processing and to improve the accuracy of predictions. The Purpose of this work is to develop an approach that predicts the enzymes’ classification. This approach is based on two axes of artificial intelligence (AI): natural language processing (NLP) and deep learning (DL). The results obtained in the tests show the effectiveness

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Krantz, Allen. "A classification of enzyme inhibitors." Bioorganic & Medicinal Chemistry Letters 2, no. 11 (1992): 1327–34. http://dx.doi.org/10.1016/s0960-894x(00)80507-7.

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Kangkachit, Thanapat, Kitsana Waiyamai, and Philippe Lenca. "Enzyme classification using reactive motifs." International Journal of Functional Informatics and Personalised Medicine 4, no. 3/4 (2014): 243. http://dx.doi.org/10.1504/ijfipm.2014.068173.

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Izrailev, Sergei, and Michael A. Farnum. "Enzyme classification by ligand binding." Proteins: Structure, Function, and Bioinformatics 57, no. 4 (2004): 711–24. http://dx.doi.org/10.1002/prot.20277.

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Xu, Jing, Han Zhang, Jinfang Zheng, Philippe Dovoedo, and Yanbin Yin. "eCAMI: simultaneous classification and motif identification for enzyme annotation." Bioinformatics 36, no. 7 (2019): 2068–75. http://dx.doi.org/10.1093/bioinformatics/btz908.

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Abstract Motivation Carbohydrate-active enzymes (CAZymes) are extremely important to bioenergy, human gut microbiome, and plant pathogen researches and industries. Here we developed a new amino acid k-mer-based CAZyme classification, motif identification and genome annotation tool using a bipartite network algorithm. Using this tool, we classified 390 CAZyme families into thousands of subfamilies each with distinguishing k-mer peptides. These k-mers represented the characteristic motifs (in the form of a collection of conserved short peptides) of each subfamily, and thus were further used to a

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Concu, Riccardo, and M. Natália D. S. Cordeiro. "Alignment-Free Method to Predict Enzyme Classes and Subclasses." International Journal of Molecular Sciences 20, no. 21 (2019): 5389. http://dx.doi.org/10.3390/ijms20215389.

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The Enzyme Classification (EC) number is a numerical classification scheme for enzymes, established using the chemical reactions they catalyze. This classification is based on the recommendation of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology. Six enzyme classes were recognised in the first Enzyme Classification and Nomenclature List, reported by the International Union of Biochemistry in 1961. However, a new enzyme group was recently added as the six existing EC classes could not describe enzymes involved in the movement of ions or molecules acro

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Almonacid, Daniel E., and Patricia C. Babbitt. "Toward mechanistic classification of enzyme functions." Current Opinion in Chemical Biology 15, no. 3 (2011): 435–42. http://dx.doi.org/10.1016/j.cbpa.2011.03.008.

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Ribeiro, António J. M., Sayoni Das, Natalie Dawson, et al. "Emerging concepts in pseudoenzyme classification, evolution, and signaling." Science Signaling 12, no. 594 (2019): eaat9797. http://dx.doi.org/10.1126/scisignal.aat9797.

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The 21st century is witnessing an explosive surge in our understanding of pseudoenzyme-driven regulatory mechanisms in biology. Pseudoenzymes are proteins that have sequence homology with enzyme families but that are proven or predicted to lack enzyme activity due to mutations in otherwise conserved catalytic amino acids. The best-studied pseudoenzymes are pseudokinases, although examples from other families are emerging at a rapid rate as experimental approaches catch up with an avalanche of freely available informatics data. Kingdom-wide analysis in prokaryotes, archaea and eukaryotes reveal

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Zhang, Yan, H. Surangi N. Jayawardena, Mingdi Yan, and Olof Ramström. "Enzyme classification using complex dynamic hemithioacetal systems." Chemical Communications 52, no. 28 (2016): 5053–56. http://dx.doi.org/10.1039/c6cc01823h.

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Cai, C. Z., L. Y. Han, Z. L. Ji, and Y. Z. Chen. "Enzyme family classification by support vector machines." Proteins: Structure, Function, and Bioinformatics 55, no. 1 (2004): 66–76. http://dx.doi.org/10.1002/prot.20045.

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Dissertations / Theses on the topic "Enzyme classification"

1

Fischer, J. D. "Characterisation, classification and conformational variability of organic enzyme cofactors." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.599034.

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In order to better understand the chemistry of life, it is important to understand the properties, evolutionary context and functional roles of organic enzymes cofactors. The aim of this work is to investigate this important group of compounds. Which molecules are organic enzyme cofactors? What is their molecular function and enzymatic mechanism? What are their physiochemical properties? How are they different from other metabolites in the cell? Are there intrinsic groupings among them? Which enzyme reactions use them? How variable is their conformation in crystallographic protein structures a

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Garet, Gaëlle. "Classification et caractérisation de familles enzymatiques à l'aide de méthodes formelles." Thesis, Rennes 1, 2014. http://www.theses.fr/2014REN1S082/document.

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Cette thèse propose une nouvelle approche de découverte de signatures de familles (et superfamilles) d'enzymes. Dans un premier temps, étant donné un échantillon aligné de séquences appartenant à une même famille, cette approche infère des grammaires algébriques caractérisant cette famille. Pour ce faire, de nouveaux principes de généralisation et de nouvelles classes de langages ont été introduites sur la base de la substituabilité locale. Un algorithme a également été développé à cet effet qui produit une grammaire réduite, conservant la structuration des exemples, d'un langage substituable.

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Reitz, Martin Johann. "Classification of metabolic reactions based on physicochemical properties and search for enzyme inhibitors." [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=984307923.

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Zhang, Yan. "Chemoenzymatic Resolution in Dynamic Systems : Screening, Classification and Asymmetric Synthesis." Doctoral thesis, KTH, Organisk kemi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-123089.

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This thesis is divided into four parts, all centered around Constitutional Dynamic Chemistry (CDC) and Dynamic Kinetic Resolution (DKR) using biocatalysts for selective transformations, and their applications in screening of bioactive compounds, organic synthesis, and enzyme classification. In part one, an introduction to CDC and DKR is presented, illustrating the basic concepts, practical considerations and potential applications of such dynamic systems, thus providing the background information for the studies in the following chapters. In part two,

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Wende, Sandra, Sonja Bonin, Oskar Götze, Heike Betat, and Mario Mörl. "The identity of the discriminator base has an impact on CCA addition." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-172120.

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CCA-adding enzymes synthesize and maintain the C-C-A sequence at the tRNA 3'-end, generating the attachment site for amino acids. While tRNAs are the most prominent substrates for this polymerase, CCA additions on non-tRNA transcripts are described as well. To identify general features for substrate requirement, a pool of randomized transcripts was incubated with the human CCA-adding enzyme. Most of the RNAs accepted for CCA addition carry an acceptor stem-like terminal structure, consistent with tRNA as the main substrate group for this enzyme. While these RNAs show no sequence conservation,

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Ansorge-Schumacher, Marion, and Christoph Loderer. "Enzyme-catalysed regio- and enantioselective preparative scale synthesis of (S)-2-hydroxy alkanones." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-188786.

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α-Hydroxy alkanones were synthesised with high enantiomeric purity by stereoselective enzyme-catalysed diketone reduction. Both diketone reduction and cofactor regeneration were accomplished with purified carbonyl reductase from Candida parapsilosis (CPCR2). The reaction products were isolated by column chromatography and analysed by chiral GC measurements, 1H-NMR spectroscopy and determination of optical rotations. Preparative-scale biotransformations yielded 350–600 mg of pure aliphatic α-hydroxy ketones including the difficult to obtain (S)-2-hydroxypentane-3-one. For all the products good

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Yaman, Ayse Gul. "Prediction Of Enzyme Classes In A Hierarchical Approach By Using Spmap." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12610969/index.pdf.

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Enzymes are proteins that play an important role in biochemical reactions as catalysts. They are classified based on the reaction they catalyzed, in a hierarchical scheme by International Enzyme Commission (EC). This hierarchical scheme is expressed as a four-level tree structure and a unique number is assigned to each enzyme class. There are six major classes at the top level according to the reaction they carried out and sub-classes at the lower levels are further specific reactions of these classes. The aim of this thesis is to build a three-level classification model based on the hierarchi

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Martin, Melanie. "Inhibitoren des Angiotensin Converting Enzyme (ACE) in hypoallergenen Säuglingsnahrungen." Doctoral thesis, Technische Universität Dresden, 2008. https://tud.qucosa.de/id/qucosa%3A23695.

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Als Schlüsselenzym im Renin-Angiotensin System übernimmt das Angiotensin Converting Enzyme (ACE) eine wichtige Rolle bei der Blutdruckregulierung. ACE spaltet das biologisch inaktive Angiotensin I zum vasokonstriktorisch wirksamen Angiotensin II, was zu einem Anstieg des Blutdruckes führt. Tier- und Humanstudien zeigten, dass die Aufnahme bekannter, aus dem Proteinabbau stammender ACE-Inhibitoren eine Absenkung des Blutdruckes bewirkte. In der Lebensmittelindustrie finden Hydrolysate von Milchproteinen, im speziellen von Molkenproteinen, Einsatz in hypoallergenen (HA) Säuglingsnahrungen. Obwoh

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Cao, Shan, J. Song, Y. Shen, Q. Xin, Y. C. Li, and Y. Li. "Development and Investigation of Low Collagen Degradability Unhairing Enzyme by Gene Modification - 21." Verein für Gerberei-Chemie und -Technik e. V, 2019. https://slub.qucosa.de/id/qucosa%3A34408.

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Content: Unhairing process brought serious pollution, and enzyme application for replacing polluting chemicals in unhairing process attracted much attention in recent years. However, the unhairing enzymes haven’t been accepted widely in actual production due to low purity, complex composition and poor stability. To solve these problems, unhairing enzyme is suggested to be improved by genetic modification in this research. The High-keratinase-producing gene (KerT), which was extracted from B. amyloliquefaciens TCCC11319, was introduced into the B.subtilis WB600 by heterologous expression. Becau

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Schlüter, Nadine, Carolina Ganß, Sandra Pötschke, Joachim Klimek, and Christian Hannig. "Enzyme Activities in the Oral Fluids of Patients Suffering from Bulimia: A Controlled Clinical Trial." Karger, 2012. https://tud.qucosa.de/id/qucosa%3A27494.

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Patients with bulimia nervosa are at high risk for dental erosion. However, not all bulimic patients suffer from erosion, irrespective of the severity of their eating disorder. It is often speculated that differences in the saliva are important, however, little is known about salivary parameters in bulimic patients, particularly directly after vomiting. The aim of the clinical trial was to compare different salivary parameters of subjects suffering from bulimia with those of healthy controls. Twenty-eight subjects participated (14 patients with bulimia nervosa, 7 of them with erosion; 14 match

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Books on the topic "Enzyme classification"

1

C, Webb Edwin, ed. Enzyme nomenclature 1992: Recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology on the nomenclature and classification of enzymes. Published for the International Union of Biochemistry and Molecular Biology by Academic Press, 1992.

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2

The Enzyme Reference: A Comprehensive Guidebook to Enzyme Nomenclature, Reactions, and Methods. Academic Press, 2002.

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Tjärnlund, Anna, and Ingrid E. Lundberg. Diagnostic and classification criteria. Edited by Hector Chinoy and Robert Cooper. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198754121.003.0002.

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Diagnosis of idiopathic inflammatory myopathies (IIM) is based on clinical features such as subacute progress of symmetrical weakness of proximal muscle and muscle fatigue, in combination with laboratory confirmation of myopathy, including elevated muscle enzyme levels in serum and histological demonstration of skeletal muscle inflammation, as well as fibre regeneration and degeneration in muscle biopsies. Several classification criteria for IIM have historically been proposed. New classification criteria for IIM have been developed, and are based on real patient data from adult and juvenile I

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(Editor), NC-ICBMB, and Edwin C. Webb (Editor), eds. Enzyme Nomenclature 1992: Recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology on the No (Enzyme Nomenclature). Academic Press, 1992.

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(Editor), NC-ICBMB, and Edwin C. Webb (Editor), eds. Enzyme Nomenclature 1992: Recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology on the No (Enzyme Nomenclature). Academic Press, 1992.

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6

Ludwig, Triest, and Jardin botanique national de Belgique., eds. Isozymes in water plants: Molecular systematics and biogeography of Alisma, Baldellia, Hydrilla, Lagarosiphon, Potamogeton, Ruppia, Zannichellia, Najas and the seagrasses : enzyme polymorphism and its relationships to biological features in aquatic macrophytes (including a comparison with terrestrial plants) : conservation of genetic diversity. National Botanic Garden of Belgium, 1991.

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7

Federico, Antonio, and Silvia Palmeri. Oligosaccharidoses. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199972135.003.0057.

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Oligosaccharidoses are a group of lysosomal diseases, also called glycoproteinoses, biochemically characterized by storage of protein-bound oligosaccharides within lysosomes and excretion with urine of corresponding sugars. Storage of oligosaccharides results from absence or defective function of a specific lysosomal enzyme. Classification includes α‎ and β‎ mannosidosis, fucosidosis, sialidosis types I and II, Schindler disease, and aspartylglycosaminuria. Galactosialidosis characterized by deficiency of β‎-galactosidase and α‎-neuraminidase with presence in patient urine of oligosaccharides

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Ferguson, Colin. Pathophysiology and management of hypothermia. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0354.

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Accidental hypothermia is defined as a core temperature of <35°C and is uncommon. It may present in any age group at any time of the year. Hypothermia may be primary, where the cold injury is the major pathology, or secondary where patients develop hypothermia incidental to another illness. Since the severely cold patient may be in cardiac arrest, areflexic, and in coma, decision making regarding treatment, its initiation, and continuation, may be difficult. Hypothermia is classified into mild (33–35°C), moderate (28–33°C) and severe (<28°C), but these are not distinct clinical syndromes

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Lamari, Foudil, and Jean-Marie Saudubray. Disorders of Complex Lipids Synthesis and Remodeling. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199972135.003.0066.

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Defective lipid catabolic pathways are involved in numerous inherited metabolic diseases such as lysosomal storage diseases and peroxisome biogenesis disorders. We recently described a new classification of a rapidly growing group of inherited metabolic disorders involving biosynthesis and remodeling of complex lipids including phospholipids and sphingolipids. The remarkable progress achieved over the last decade in high throughput gene sequencing and in lipid analysis technologies have enabled the description of more than 40 diseases linked to defects in enzymes involved in these pathways. So

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(Editor), John N. Abelson, Melvin I. Simon (Editor), and Alan J. Barrett (Editor), eds. Proteolytic Enzymes: Serine and Cysteine Peptidases, Volume 244 (Methods in Enzymology). Academic Press, 1994.

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Book chapters on the topic "Enzyme classification"

1

Hoh, Christoph, and Murillo Villela Filho. "The Enzyme Classification." In Industrial Biotransformations. Wiley-VCH Verlag GmbH & Co. KGaA, 2006. http://dx.doi.org/10.1002/9783527608188.ch2.

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Deshpande, S. S. "Immunoassay Classification and Commercial Technologies." In Enzyme Immunoassays. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1169-0_8.

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Ako, H., and W. K. Nip. "Enzyme Classification and Nomenclature." In Food Biochemistry and Food Processing. Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118308035.ch6.

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Punekar, N. S. "On Enzyme Nomenclature and Classification." In ENZYMES: Catalysis, Kinetics and Mechanisms. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0785-0_4.

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Sharif, Mahi M., Alaa Thrwat, Islam Ibrahim Amin, Aboul Ella, and Hesham A. Hefeny. "Enzyme Function Classification Based on Sequence Alignment." In Advances in Intelligent Systems and Computing. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2247-7_42.

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Coste, François, Gaëlle Garet, Agnès Groisillier, Jacques Nicolas, and Thierry Tonon. "Automated Enzyme Classification by Formal Concept Analysis." In Formal Concept Analysis. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07248-7_17.

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McDonald, Andrew G., and Keith F. Tipton. "Elucidation of Metabolic Pathways from Enzyme Classification Data." In Methods in Molecular Biology. Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-661-0_11.

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dos Santos, Cássia T., Ana L. C. Bazzan, and Ney Lemke. "Automatic Classification of Enzyme Family in Protein Annotation." In Advances in Bioinformatics and Computational Biology. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03223-3_8.

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Sharif, Mahir M., Alaa Tharwat, Aboul Ella Hassanien, Hesham A. Hefny, and Gerald Schaefer. "Enzyme Function Classification Based on Borda Count Ranking Aggregation Method." In Studies in Big Data. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30315-4_7.

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Tharwat, Alaa, Mahir M. Sharif, Aboul Ella Hassanien, and Hesham A. Hefeny. "Improving Enzyme Function Classification Performance Based on Score Fusion Method." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19644-2_44.

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Conference papers on the topic "Enzyme classification"

1

Davidson, Nicholas J., and Xueyi Wang. "Non-Alignment Features Based Enzyme/Non-Enzyme Classification Using an Ensemble Method." In 2010 International Conference on Machine Learning and Applications (ICMLA). IEEE, 2010. http://dx.doi.org/10.1109/icmla.2010.167.

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Sharif, Mahir M., Alaa Tharwat, Aboul Ella Hassanien, and Hesham A. Hefny. "Enzyme vs. non-enzyme classification based on principal component analysis and AdaBoost classifier." In 2016 International Conference on Computing, Communication and Automation (ICCCA). IEEE, 2016. http://dx.doi.org/10.1109/ccaa.2016.7813731.

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Lee, Bum Ju, and Keun Ho Ryu. "Feature Extraction from Protein Sequences and Classification of Enzyme Function." In 2008 International Conference on Biomedical Engineering And Informatics (BMEI). IEEE, 2008. http://dx.doi.org/10.1109/bmei.2008.341.

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Kumar, Chetan, Gang Li, and Alok Choudhary. "Enzyme Function Classification Using Protein Sequence Features and Random Forest." In 2009 3rd International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2009. http://dx.doi.org/10.1109/icbbe.2009.5162790.

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Bum Ju Lee, Heon Gyu Lee, and Keun Ho Ryu. "Design of a Novel Protein Feature and Enzyme Function Classification." In 2008 IEEE 8th International Conference on Computer and Information Technology Workshops. CIT Workshops 2008. IEEE, 2008. http://dx.doi.org/10.1109/cit.2008.workshops.59.

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Yadav, Sanjeev Kumar, Amit Bhola, and Arvind Kumar Tiwari. "Classification of enzyme functional classes and subclasses using support vector machine." In 2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE). IEEE, 2015. http://dx.doi.org/10.1109/ablaze.2015.7155031.

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Lee, Bum Ju, Heon Gu Lee, Jong Yun Lee, and Keun Ho Ryu. "Classification of Enzyme Function from Protein Sequence based on Feature Representation." In 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering. IEEE, 2007. http://dx.doi.org/10.1109/bibe.2007.4375643.

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Kishore, Raj, and Sudhakar Tripathi. "A comparative analysis of enzyme classification approaches using hybrid feature selection technique." In 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT). IEEE, 2016. http://dx.doi.org/10.1109/iccpct.2016.7530354.

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Hopmeier, P., M. Halbmayer, H. P. Schwarz, F. Heuss, and M. Fischer. "PROTEIN C AND PROTEIN S IN MILD AND MODERATE PREECLAMPSIA." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1644285.

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In normal pregnancy, total protein S antigen and activity have been reported to be markedly reduced, whereas protein C level was found unaltered. In contrast, in severe preeclampsia protein C antigen was found to be considerably reduced. The presentstudy was done to clarify whether similar changes in protein Cwould alsobe observed for the mildand moderatepreeclamptic state andwhether there would be any effects on the level ofprotein S, since nodata on this cofactor in preeclampsia have been reported to date. 4-0 women in the 3rd trimester of pregnancy - 20 with uncomplicated pregnancies and 20

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Huang, Yu-Feng, Yu-Shin Lin, Tian-Wei Hsu, and Chien-Kang Huang. "Mining Conserved Structures of Enzymes from Functional Hierarchical Classification." In 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering. IEEE, 2007. http://dx.doi.org/10.1109/bibe.2007.4375596.

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