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CEvADA: Co-Evolution Analysis Data Archive

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Advances in Bioinformatics and Computational Biology (BSB 2021)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 13063))

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Abstract

CEvADA is a database of amino acid coevolution networks aimed to detect specificity determinant and function related sites in protein families. The database was also designed to provide an easy access to protein coevolutionary constraints that can be incorporated in machine learning classification models, just as sequence annotation and structure prediction methods. The data can be accessed for the whole protein family and specific protein sequences. We also provide sequence search and a REST API for programmatic access in the database. The current version of the database contains data related to 6.301 conserved domains and 45 million protein sequences. CeVADA is free and can be accessed at http://bioinfo.icb.ufmg.br/cevada.

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Acknowledgements

Authors thank CEPAD-ICB, UFMG, for hosting CeVADA in the HPC cluster Sagarana.

Funding

This work has been supported by CNPq (grant 457851/2014-7) and CAPES (grant 051/2013).

Author information

Authors and Affiliations

  1. Department of Biochemistry and Immunology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, 31270-901, Brazil

    Neli José da Fonseca Júnior, Marcelo Querino Lima Afonso & Lucas Bleicher

  2. Cellular Structure and 3D Bioimaging, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK

    Neli José da Fonseca Júnior

Authors
  1. Neli José da Fonseca Júnior
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  2. Marcelo Querino Lima Afonso
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  3. Lucas Bleicher
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Corresponding author

Correspondence to Neli José da Fonseca Júnior .

Editor information

Editors and Affiliations

  1. Leipzig University, Leipzig, Sachsen, Germany

    Peter F. Stadler

  2. University of Brasília, Brasilia, Brazil

    Maria Emilia M. T. Walter

  3. CINVESTAV, Irapuato, Mexico

    Maribel Hernandez-Rosales

  4. Universidade de Brasilia, Brasilia, Brazil

    Marcelo M. Brigido

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da Fonseca Júnior, N.J., Afonso, M.Q.L., Bleicher, L. (2021). CEvADA: Co-Evolution Analysis Data Archive. In: Stadler, P.F., Walter, M.E.M.T., Hernandez-Rosales, M., Brigido, M.M. (eds) Advances in Bioinformatics and Computational Biology. BSB 2021. Lecture Notes in Computer Science(), vol 13063. Springer, Cham. https://doi.org/10.1007/978-3-030-91814-9_11

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  • DOI: https://doi.org/10.1007/978-3-030-91814-9_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-91813-2

  • Online ISBN: 978-3-030-91814-9

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