Relevant bibliographies by topics / Enzymes – Classification

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

Academic literature on the topic 'Enzymes – Classification'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Enzymes – Classification"

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Memon, Safyan Aman, Kinaan Aamir Khan, and Hammad Naveed. "HECNet: a hierarchical approach to enzyme function classification using a Siamese Triplet Network." Bioinformatics 36, no. 17 (2020): 4583–89. http://dx.doi.org/10.1093/bioinformatics/btaa536.

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Abstract Motivation Understanding an enzyme’s function is one of the most crucial problem domains in computational biology. Enzymes are a key component in all organisms and many industrial processes as they help in fighting diseases and speed up essential chemical reactions. They have wide applications and therefore, the discovery of new enzymatic proteins can accelerate biological research and commercial productivity. Biological experiments, to determine an enzyme’s function, are time-consuming and resource expensive. Results In this study, we propose a novel computational approach to predict
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ARPIGNY, Jean Louis, and Karl-Erich JAEGER. "Bacterial lipolytic enzymes: classification and properties." Biochemical Journal 343, no. 1 (1999): 177–83. http://dx.doi.org/10.1042/bj3430177.

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Knowledge of bacterial lipolytic enzymes is increasing at a rapid and exciting rate. To obtain an overview of this industrially very important class of enzymes and their characteristics, we have collected and classified the information available from protein and nucleotide databases. Here we propose an updated and extensive classification of bacterial esterases and lipases based mainly on a comparison of their amino acid sequences and some fundamental biological properties. These new insights result in the identification of eight different families with the largest being further divided into s
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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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ARPIGNY, Jean Louis, and Karl-Erich JAEGER. "Bacterial lipolytic enzymes: classification and properties." Biochemical Journal 343, no. 1 (1999): 177. http://dx.doi.org/10.1042/0264-6021:3430177.

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Lombard, Vincent, Thomas Bernard, Corinne Rancurel, Harry Brumer, Pedro M. Coutinho, and Bernard Henrissat. "A hierarchical classification of polysaccharide lyases for glycogenomics." Biochemical Journal 432, no. 3 (2010): 437–44. http://dx.doi.org/10.1042/bj20101185.

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Carbohydrate-active enzymes face huge substrate diversity in a highly selective manner using only a limited number of available folds. They are therefore subjected to multiple divergent and convergent evolutionary events. This and their frequent modularity render their functional annotation in genomes difficult in a number of cases. In the present paper, a classification of polysaccharide lyases (the enzymes that cleave polysaccharides using an elimination instead of a hydrolytic mechanism) is shown thoroughly for the first time. Based on the analysis of a large panel of experimentally charact
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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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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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Bush, Karen, та George A. Jacoby. "Updated Functional Classification of β-Lactamases". Antimicrobial Agents and Chemotherapy 54, № 3 (2009): 969–76. http://dx.doi.org/10.1128/aac.01009-09.

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ABSTRACT Two classification schemes for β-lactamases are currently in use. The molecular classification is based on the amino acid sequence and divides β-lactamases into class A, C, and D enzymes which utilize serine for β-lactam hydrolysis and class B metalloenzymes which require divalent zinc ions for substrate hydrolysis. The functional classification scheme updated herein is based on the 1995 proposal by Bush et al. (K. Bush, G. A. Jacoby, and A. A. Medeiros, Antimicrob. Agents Chemother. 39:1211-1233, 1995). It takes into account substrate and inhibitor profiles in an attempt to group the
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SENGUPTA, RAJIB, DHUNDY R. BASTOLA, and HESHAM H. ALI. "CLASSIFICATION AND IDENTIFICATION OF FUNGAL SEQUENCES USING CHARACTERISTIC RESTRICTION ENDONUCLEASE CUT ORDER." Journal of Bioinformatics and Computational Biology 08, no. 02 (2010): 181–98. http://dx.doi.org/10.1142/s0219720010004616.

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Restriction Fragment Length Polymorphism (RFLP) is a powerful molecular tool that is extensively used in the molecular fingerprinting and epidemiological studies of microorganisms. In a wet-lab setting, the DNA is cut with one or more restriction enzymes and subjected to gel electrophoresis to obtain signature fragment patterns, which is utilized in the classification and identification of organisms. This wet-lab approach may not be practical when the experimental data set includes a large number of genetic sequences and a wide pool of restriction enzymes to choose from. In this study, we intr
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Tao, Zhiyu, Benzhi Dong, Zhixia Teng, and Yuming Zhao. "The Classification of Enzymes by Deep Learning." IEEE Access 8 (2020): 89802–11. http://dx.doi.org/10.1109/access.2020.2992468.

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Dissertations / Theses on the topic "Enzymes – Classification"

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Wang, Yang. "Exploring glycoside hydrolase family 5 (GH5) enzymes." Licentiate thesis, KTH, Glykovetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-121537.

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In 1990, the classification of carbohydrate-active enzymes (CAZymes) was introduced by the scientist Bernard Henrissat. According to sequence similarity, these enzymes were separated into families with conserved structures and reaction mechanisms. One interesting class of CAZymes is the group of glycoside hydrolases (GHs) containing more than 138000 modules divided into 131 families as of February 2013. One of the most versatile and the largest of these GH families, containing enzymes with numerous biomass-deconstructing activities, is glycoside hydrolase family 5 (GH5). However, for large and
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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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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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Wei, Ren, and Wolfgang Zimmermann. "Microbial enzymes for the recycling of recalcitrant petroleum-based plastics: how far are we?" Universität Leipzig, 2017. https://ul.qucosa.de/id/qucosa%3A21103.

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Petroleum-based plastics have replaced many natural materials in their former applications. With their excellent properties, they have found widespread uses in almost every area of human life. However, the high recalcitrance of many synthetic plastics results in their long persistence in the environment, and the growing amount of plastic waste ending up in landfills and in the oceans has become a global concern. In recent years, a number of microbial enzymes capable of modifying or degrading recalcitrant synthetic polymers have been identified. They are emerging as candidates for the developme
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Krause, Udo. "Protein phosphorylation in yeast mitochondria: enzymes, substrates and function." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-123158.

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Protein phosphorylation is one of the major post-translational modifications to allow for signal transmission and fine tuning of metabolism on the cellular proteomic level. As such it is “one of the last instances” to modulate the activity of enzymes and hence to impact the cellular life irrespective of the basic conditions provided by the genome – and epigenome– controlled gene expression. The evolutionary increase in cellular complexity is reflected by highly sophisticated regulatory networks in multicellular eukaryotes based on the transfer of phosphate mostly onto the side chains of serine
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Zhang, Yafei, Zhenye Tang, Hui Liu, Cem Emre Ferah, and Keyong Tang. "Effects of different salt-enzymes on opening up of collagen fiber bundles for leather making - 230." Verein für Gerberei-Chemie und -Technik e. V, 2019. https://slub.qucosa.de/id/qucosa%3A34320.

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Content: Traditional leather industry involves mechanical, chemical and biological processes, and a lot of leather chemicals are widely used annually. In the beamhouse, especially in liming and re-liming, enormous pollution is usually released because of the traditional use of Na2S and lime. Many researchers have devoted to clean production for leather making. In this study, salt-enzyme liming process was studied in modern leather process to remove the inter-fibrillary matter. Three such salts as Na2SO4, NaCl, and MgCl2 were used with such enzymes as neutral protease and cellulase. The enzyme
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Mössinger, Christine. "Identification, regulation and physiological role of enzymes involved in triacylglycerol and phosphatidylcholine synthesis on lipid droplets." Doctoral thesis, Max Planck Institute of Molecular Cell Biology and Genetics, 2009. https://tud.qucosa.de/id/qucosa%3A25375.

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Metabolic energy is most efficiently stored as triacylglycerol (TAG). This neutral lipid accumulates mainly within adipose tissues, but it can be stored and used in all types of cells. Within cells it is packed in organelles called lipid droplets (LDs). They consist of a core of neutral lipids like TAG and cholesterol esters, which is surrounded by a phospholipid monolayer that mainly consists of phosphatidylcholine (PC). Attached to or inserted into this monolayer are various proteins, mainly LD specific structural proteins or lipid metabolic enzymes. Though excess uptake of nutrition leads t
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Galarza, Betina, M. L. Garro, N. Ferreri, L. Elíades, and R. Hours. "A new fungal isolates applicated to bovine skin in beamhouse processes - 307." Verein für Gerberei-Chemie und -Technik e. V, 2019. https://slub.qucosa.de/id/qucosa%3A34210.

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Content: Beamhouse area is an important step in leather technology, either in the final quality of the leather or in the contribution to the contamination of effluents. In unhairing process, the use of enzymes as sulphide assistants can reduce sulfhidric gas emissions to reach permitted levels for health. The characterization of enzymatic extracts allows controlling the proteolysis mechanism so that its action does not attack the reticular structure. A new fungal enzyme extracts were applied on submerged bovine skin in the soaking and unhairing steps. Fungal strains were isolated from alkaline
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Farnet, Anne-Marie. "Variabilité phénotypique et génétique chez Marasmius quercophilus, basidiomycète colonisant une litière de chêne vert." Aix-Marseille 3, 1998. http://www.theses.fr/1998AIX30037.

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Cette etude constitue une premiere approche de la taxonomie de marasmius quercophilus, basidiomycete de la litiere du chene vert (quercus ilex l. ), en utilisant des criteres phenotypiques et genotypiques. Dans l'analyse phenotypique, les 36 souches recoltees sur le site de la gardiole de rians (var, france) ont ete regroupees en 11 phenons apres traitements statistiques (dendrogramme et analyse factorielle de correspondence). La nature du substratum (feuille de chene vert ou blanc, gland, bois) et la saison de recolte n'ont pas influence leur repartition. L'analyse genetique a mis en evidence
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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 "Enzymes – Classification"

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

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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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(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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Proteolytic Enzymes: Serine and Cysteine Peptidases, Volume 244 (Methods in Enzymology). Academic Press, 1994.

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(Editor), C. P. Kubicek, and Gary E. Harman (Editor), eds. Trichoderma And Gliocladium (Trichoderma & Gliocladium) Volume 1: Basic biology, taxonomy and genetics. CRC, 1998.

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P, Kubicek C., Harman Gary E, and Ondik Kristen L, eds. Trichoderma and Gliocladium. Taylor & Francis, 1998.

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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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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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Book chapters on the topic "Enzymes – Classification"

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Bergmann, Max. "A Classification of Proteolytic Enzymes." In Advances in Enzymology - and Related Areas of Molecular Biology. John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/9780470122471.ch3.

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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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Kovacic, Filip, Nikolina Babic, Ulrich Krauss, and Karl-Erich Jaeger. "Classification of Lipolytic Enzymes from Bacteria." In Aerobic Utilization of Hydrocarbons, Oils and Lipids. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-39782-5_39-1.

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Kovacic, Filip, Nikolina Babic, Ulrich Krauss, and Karl-Erich Jaeger. "Classification of Lipolytic Enzymes from Bacteria." In Aerobic Utilization of Hydrocarbons, Oils, and Lipids. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-50418-6_39.

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Mu, Wanmeng, and Qiuming Chen. "Development and Classification of Functional Carbohydrate Processing Enzymes in the Food Industry." In Novel enzymes for functional carbohydrates production. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6021-1_1.

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van Someren, M. A. Kusters, H. C. M. Kester, R. A. Samson, and J. Visser. "Variation in Pectinolytic Enzymes of the Black Aspergilli: A Biochemical and Genetic Approach." In Modern Concepts in Penicillium and Aspergillus Classification. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4899-3579-3_29.

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Hoffmann-Ostenhof, O. "Suggestions for a More Rational Classification and Nomenclature of Enzymes." In Advances in Enzymology - and Related Areas of Molecular Biology. John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/9780470122594.ch7.

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Anwar, Waheed, Ahmad Ali Shahid, and Muhammad Saleem Haider. "Entomopathogenic fungi: Introduction, history, classification, infection mechanism, enzymes, and toxins." In Biopesticides and Bioagents. Apple Academic Press, 2017. http://dx.doi.org/10.1201/9781315365558-5.

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Yamatoya, K., J. Sugiyama, and H. Kuraishi. "Electrophoretic Comparison of Enzymes as a Chemotaxonomic Aid Among Aspergillus Taxa: (2) Aspergillus Sect. Flavi." In Modern Concepts in Penicillium and Aspergillus Classification. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4899-3579-3_35.

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Matutes, Estella. "The Role of the Monoclonal Antibody Anti-Myeloperoxidase (anti-MPO) in the Diagnosis and Classification of Acute Leukaemias." In The Peroxidase Multigene Family of Enzymes. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-58314-8_11.

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Conference papers on the topic "Enzymes – Classification"

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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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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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