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International Conference on ICT Innovations

ICT Innovations 2014: ICT Innovations 2014 pp 259–267Cite as

Method for Determination of the Protein Functions Based on the Global and Local Characteristics of the Structure

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 311))

Abstract

Protein molecules are very important since they take part in many processes in the organisms. Different proteins have different preferences to be involved in various processes, and these preferences determine their functions. The development of efficient and accurate computational methods for determination of the protein functions is of high importance, and therefore this research area is one of the hottest topics in bioinformatics. In this paper we present a method for functionally annotating protein structures. We consider the global characteristics of the protein structure, and also we take into consideration some local characteristics of the binding sites where the inspected protein structure get into interaction with another structure. After extracting the characteristics of the protein structure, then we induce prediction model by using the Binary Relevance method for multi-label learning. We present some experimental results of the evaluation of the method.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Skopje, Macedonia

    Georgina Mirceva

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  1. Georgina Mirceva
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Correspondence to Georgina Mirceva .

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Editors and Affiliations

  1. Faculty of Computer Science and Engineering, Ss Cyril and Methodius University, Skopje, Macedonia

    Ana Madevska Bogdanova

  2. Faculty of Computer Science and Engineering, Ss Cyril and Methodius University, Skopje, Macedonia

    Dejan Gjorgjevikj

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Mirceva, G. (2015). Method for Determination of the Protein Functions Based on the Global and Local Characteristics of the Structure. In: Bogdanova, A., Gjorgjevikj, D. (eds) ICT Innovations 2014. ICT Innovations 2014. Advances in Intelligent Systems and Computing, vol 311. Springer, Cham. https://doi.org/10.1007/978-3-319-09879-1_26

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  • DOI: https://doi.org/10.1007/978-3-319-09879-1_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09878-4

  • Online ISBN: 978-3-319-09879-1

  • eBook Packages: EngineeringEngineering (R0)

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