Abstract
Protein structure similarity searching is a complex process, which is usually carried out through comparison of the given protein structure to a set of protein structures from a database. Since existing database management systems do not offer integrated exploration methods for querying protein structures, the structural similarity searching is usually performed by external tools. This often lengthens the processing time and requires additional processing steps, like adaptation of input and output data formats. In the paper, we present our extension to the SQL language, which allows to formulate queries against a database in order to find proteins having secondary structures similar to the structural pattern specified by a user. Presented query language is integrated with the relational database management system and it simplifies the manipulation of biological data.
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© 2012 Springer-Verlag Berlin Heidelberg
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Małysiak-Mrozek, B., Kozielski, S., Mrozek, D. (2012). Server-Side Query Language for Protein Structure Similarity Searching. In: Hippe, Z.S., Kulikowski, J.L., Mroczek, T. (eds) Human – Computer Systems Interaction: Backgrounds and Applications 2. Advances in Intelligent and Soft Computing, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23172-8_26
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DOI: https://doi.org/10.1007/978-3-642-23172-8_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23171-1
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