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International Conference on ISMAC in Computational Vision and Bio-Engineering

ISMAC 2018: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) pp 89–95Cite as

A Review on Protein Structure Classification

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Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB,volume 30)

Abstract

A massive amount of sequence data is gradually produced by the genome projects that have to be annotated in terms of structure, molecular, and biological functions. In structural genomics, the aim is to resolve several protein structures in an efficient way and to exploit the solved protein structures for assigning the biological function to theoretically solved protein structures. In earlier stages, the protein structures are classified manually in a successful manner and now it suffers from updating problem because of the high throughput of recently solved protein structures. To overcome this issue, several data mining techniques have been examined for the structural classification of the protein world. This review article presents an overview of the existing classification techniques, databases, tools, and performance metrics used for evaluating the performance of protein structure classification algorithms.

Keywords

  • Protein structure
  • Classification techniques
  • Tools
  • Databases
  • Computational biology
  • Challenges

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Acknowledgements

The authors like to thank the Department of Science and Technology (DST), New Delhi (DST/INSPIRE Fellowship/2015/IF150093) for the financial support under INSPIRE Fellowship for this research work.

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Authors and Affiliations

  1. Department of Computer Science, Bharathiar University, Coimbatore, India

    N. Sajithra, D. Ramyachitra & P. Manikandan

Authors
  1. N. Sajithra
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  2. D. Ramyachitra
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  3. P. Manikandan
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Corresponding author

Correspondence to N. Sajithra .

Editor information

Editors and Affiliations

  1. SCAD Institute of Technology, Palladam, India

    Durai Pandian

  2. Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada

    Xavier Fernando

  3. School of Computer and Security Science, Edith Cowan University, Joondalup, WA, Australia

    Zubair Baig

  4. Wenzhou Medical University, Wenzhou, China

    Fuqian Shi

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Sajithra, N., Ramyachitra, D., Manikandan, P. (2019). A Review on Protein Structure Classification. In: Pandian, D., Fernando, X., Baig, Z., Shi, F. (eds) Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). ISMAC 2018. Lecture Notes in Computational Vision and Biomechanics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-00665-5_10

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  • DOI: https://doi.org/10.1007/978-3-030-00665-5_10

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