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A Collaborative Web Application for Supporting Researchers in the Task of Generating Protein Datasets

  • Chapter
Advances in Distributed Agent-Based Retrieval Tools

Part of the book series: Studies in Computational Intelligence ((SCI,volume 361))

Abstract

The huge difference between known sequences and known tertiary structures has fostered the development of automated methods and systems for protein analysis.When these systems are learned using machine learning techniques, the capability of training them with suitable data becomes of paramount importance. From this perspective, the search for (and the generation of) specialized datasets that meet specific requirements are prominent activities for researchers. To help researchers in these activities we developed ProDaMa-C, a web application aimed at generating specialized protein structure datasets and fostering the collaboration among researchers. ProDaMa-C provides a collaborative environmentwhere researcherswith similar interests can meet and collaborate to generate new datasets. Datasets are generated selecting proteins through user-defined pipelines of methods/operators. Each pipeline can also be used as starting point for building further pipelines able to enforce additional selection criteria. Freely available as web application at the URL http://iasc.diee.unica.it/prodamac , ProDaMa-C has shown to be a useful tool for researchers involved in the task of generating specialized protein structure datasets.

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Author information

Authors and Affiliations

  1. Dept. of Electrical and Electronic Engineering, University of Cagliari, Italy

    Giuliano Armano

  2. Institute for Biomedical Technologies, National Research Council, Milano, Italy

    Andrea Manconi

Authors
  1. Giuliano Armano
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  2. Andrea Manconi
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Editor information

Editors and Affiliations

  1. InterAnalytics, Rue des Savoises, 19, 1205, Geneva, Switzerland

    Vincenzo Pallotta

  2. CRS4, Center of Advanced Studies Research and Development in Sardinia, Parco Scientifico della Sardegna, Ed. 1, 09010, Loc. Piscinamanna Pula, CA, Italy

    Alessandro Soro

  3. Department of Electrical and Electronic Engineering, University of Cagliari, 09123, Piazza d’Armi, Cagliari, Italy

    Eloisa Vargiu

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© 2011 Springer-Verlag Berlin Heidelberg

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Armano, G., Manconi, A. (2011). A Collaborative Web Application for Supporting Researchers in the Task of Generating Protein Datasets. In: Pallotta, V., Soro, A., Vargiu, E. (eds) Advances in Distributed Agent-Based Retrieval Tools. Studies in Computational Intelligence, vol 361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21384-7_2

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  • DOI: https://doi.org/10.1007/978-3-642-21384-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21383-0

  • Online ISBN: 978-3-642-21384-7

  • eBook Packages: EngineeringEngineering (R0)

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