ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature

ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature

Abstract Background The automated prediction of the enzymatic functions of uncharacterized proteins is a crucial topic in bioinformatics. Although several methods and tools have been proposed to classify enzymes, most of these studies are limited to specific functional classes and levels of the Enzy...

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Bibliographic Details
Main Authors: Alperen Dalkiran, Ahmet Sureyya Rifaioglu, Maria Jesus Martin, Rengul Cetin-Atalay, Volkan Atalay, Tunca Doğan
Format: Article
Language:English
Published: BMC 2018-09-01
Series:BMC Bioinformatics
Subjects:
Protein sequence
EC numbers
Function prediction
Machine learning
Benchmark datasets
Online Access:http://link.springer.com/article/10.1186/s12859-018-2368-y

Internet

http://link.springer.com/article/10.1186/s12859-018-2368-y

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