PatternQuery: web application for fast detection of biomacromolecular structural patterns in the entire Protein Data Bank

Investor logo
Investor logo

Warning

This publication doesn't include Faculty of Economics and Administration. It includes Central European Institute of Technology. Official publication website can be found on muni.cz.
Authors

SEHNAL David PRAVDA Lukáš SVOBODOVÁ VAŘEKOVÁ Radka IONESCU Crina-Maria KOČA Jaroslav

Year of publication 2015
Type Article in Periodical
Magazine / Source Nucleic Acids Research
MU Faculty or unit

Central European Institute of Technology

Citation
Web http://dx.doi.org/10.1093/nar/gkv561
Doi http://dx.doi.org/10.1093/nar/gkv561
Field Biochemistry
Keywords protein structure; protein structural pattern; structural bioinformatics; Protein Data Bank; query language
Description Well defined biomacromolecular patterns such as binding sites, catalytic sites, specific protein or nucleic acid sequences, etc. precisely modulate many important biological phenomena. We introduce PatternQuery, a web-based application designed for detection and fast extraction of such patterns. The application uses a unique query language with Python-like syntax to define the patterns that will be extracted from datasets provided by the user, or from the entire Protein Data Bank (PDB). Moreover, the database-wide search can be restricted using a variety of criteria, such as PDB ID, resolution, and organism of origin, to provide only relevant data. The extraction generally takes a few seconds for several hundreds of entries, up to approximately one hour for the whole PDB. The detected patterns are made available for download to enable further processing, as well as presented in a clear tabular and graphical form directly in the browser. The unique design of the language and the provided service could pave the way towards novel PDB-wide analyses, which were either difficult or unfeasible in the past. The application is available free of charge at http://ncbr.muni.cz/PatternQuery.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.