Prediction of Enzymatic Properties of Protein Sequences Based on the EC Nomenclature

Date

2017-06-30

Author

Dalkıran, Alperen
Rifaioğlu, Ahmet Süreyya
Doğan, Tunca
Atalay, Mehmet Volkan
Martin, Maria Jesus
Atalay, Rengül

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URI

http://hibit2017.ii.metu.edu.tr/wordpress/wp-content/uploads/HIBIT2017_Conference_Book.pdf
https://hdl.handle.net/11511/77530

Conference Name

10th The International Symposium on Health Informatics and Bioinformatics (HIBIT 2017), (28 - 30 Haziran 2017)

Collections

Department of Computer Engineering, Conference / Seminar

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Prediction of Enzymatic Properties of Protein Sequences Based on the EC Nomenclature Dalkıran, Alperen; Doğan, Tunca; Rifaioğlu, Ahmet Süreyya; Atalay, Mehmet Volkan; Martin, Maria Jesus; Atalay, Rengül (2017-07-20)
Prediction of enzymatic properties of protein sequences based on the enzyme commission nomenclature Dalkıran, Alperen; Atalay, Mehmet Volkan; Atalay, Rengül; Department of Computer Engineering (2017) The volume of expert manual annotation of biomolecules is steady due to high costs associated with it, although the number of sequenced genomes continues to grow exponentially. Computational methods have been proposed in order to predict the attributes of gene products. The prediction of Enzyme Commission (EC) numbers is a challenging issue in this area. Enzymes have crucial roles in metabolic pathways, therefore they are widely employed in biotechnological and biomedical pplications. EC numbers are numeric...
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Citation Formats

A. Dalkıran, A. S. Rifaioğlu, T. Doğan, M. V. Atalay, M. J. Martin, and R. Atalay, “Prediction of Enzymatic Properties of Protein Sequences Based on the EC Nomenclature,” Kalkanlı, Kıbrıs (Kktc), 2017, p. 7, Accessed: 00, 2021. [Online]. Available: http://hibit2017.ii.metu.edu.tr/wordpress/wp-content/uploads/HIBIT2017_Conference_Book.pdf.