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International Conference on Knowledge Science, Engineering and Management

KSEM 2019: Knowledge Science, Engineering and Management pp 249–261Cite as

ProteinA: An Approach for Analyzing and Visualizing Protein Conformational Transitions Using Fuzzy and Hard Clustering Techniques

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11775))

Abstract

It is not easy finding arguments against the common belief that Proteomics and Genomics are the most challenging and important research fields, posing interesting problems for our current era. Gaining insight into the protein folding process has been the goal of many in the past few decades. Understanding completely how proteins come alive and behave will revolutionize modern medicine. With the main goal of understanding the importance of the protein folding problem and uncovering hidden patterns in protein data, we are analyzing protein conformational transitions with unsupervised learning tools, by applying different types of hard and fuzzy clustering algorithms and comparing the results. As an additional goal, the paper describes a software that can perform on demand analysis on protein data and display the results in a web interface. It is a proof of concept for potential useful features that make software algorithms available for researchers of all domains.

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Notes

  1. 1.

    Protein clustering online http://proteinclusters.online/proteins.

  2. 2.

    Protein clustering web application https://github.com/albusilvana/proteinclusteringwebapp.

  3. 3.

    Protein clustering docker image on Docker hub https://hub.docker.com/r/salbert/proteinclustering.

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Acknowledgments

The authors thank lecturer Alessandro Pandini from Brunel University, London for providing the protein data sets used in the experiments.

Author information

Authors and Affiliations

  1. Department of Computer Science, Babeş-Bolyai University, 1, M. Kogalniceanu Street, 400084, Cluj-Napoca, Romania

    Silvana Albert & Gabriela Czibula

Authors
  1. Silvana Albert
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  2. Gabriela Czibula
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Corresponding author

Correspondence to Silvana Albert .

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Editors and Affiliations

  1. University of Piraeus, Piraeus, Greece

    Christos Douligeris

  2. University of Vienna, Vienna, Austria

    Dimitris Karagiannis

  3. University of Piraeus, Piraeus, Greece

    Dimitris Apostolou

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Albert, S., Czibula, G. (2019). ProteinA: An Approach for Analyzing and Visualizing Protein Conformational Transitions Using Fuzzy and Hard Clustering Techniques. In: Douligeris, C., Karagiannis, D., Apostolou, D. (eds) Knowledge Science, Engineering and Management. KSEM 2019. Lecture Notes in Computer Science(), vol 11775. Springer, Cham. https://doi.org/10.1007/978-3-030-29551-6_22

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  • DOI: https://doi.org/10.1007/978-3-030-29551-6_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29550-9

  • Online ISBN: 978-3-030-29551-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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