Cloud prediction of protein structure and function with PredictProtein for Debian

László Kaján; Guy Yachdav; Esmeralda Vicedo; Martin Steinegger; Milot Mirdita; Christof Angermüller; Ariane Böhm; Simon Domke; Julia Ertl; Christian Mertes; Eva Reisinger; Cedric Staniewski; Burkhard Rost

doi:10.1155/2013/398968

Cloud prediction of protein structure and function with PredictProtein for Debian

László Kaján, Guy Yachdav, Esmeralda Vicedo, Martin Steinegger, Milot Mirdita, Christof Angermüller, Ariane Böhm, Simon Domke, Julia Ertl, Christian Mertes, Eva Reisinger, Cedric Staniewski, Burkhard Rost

Informatics 12 - Chair of Bioinformatics

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

We report the release of PredictProtein for the Debian operating system and derivatives, such as Ubuntu, Bio-Linux, and Cloud BioLinux. The PredictProtein suite is available as a standard set of open source Debian packages. The release covers the most popular prediction methods from the Rost Lab, including methods for the prediction of secondary structure and solvent accessibility (profphd), nuclear localization signals (predictnls), and intrinsically disordered regions (norsnet). We also present two case studies that successfully utilize PredictProtein packages for high performance computing in the cloud: the first analyzes protein disorder for whole organisms, and the second analyzes the effect of all possible single sequence variants in protein coding regions of the human genome.

Original language	English
Article number	398968
Journal	BioMed Research International
Volume	2013
DOIs	https://doi.org/10.1155/2013/398968
State	Published - 2013

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abstract = "We report the release of PredictProtein for the Debian operating system and derivatives, such as Ubuntu, Bio-Linux, and Cloud BioLinux. The PredictProtein suite is available as a standard set of open source Debian packages. The release covers the most popular prediction methods from the Rost Lab, including methods for the prediction of secondary structure and solvent accessibility (profphd), nuclear localization signals (predictnls), and intrinsically disordered regions (norsnet). We also present two case studies that successfully utilize PredictProtein packages for high performance computing in the cloud: the first analyzes protein disorder for whole organisms, and the second analyzes the effect of all possible single sequence variants in protein coding regions of the human genome.",

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T1 - Cloud prediction of protein structure and function with PredictProtein for Debian

AU - Kaján, László

AU - Yachdav, Guy

AU - Vicedo, Esmeralda

AU - Steinegger, Martin

AU - Mirdita, Milot

AU - Angermüller, Christof

AU - Böhm, Ariane

AU - Domke, Simon

AU - Ertl, Julia

AU - Mertes, Christian

AU - Reisinger, Eva

AU - Staniewski, Cedric

AU - Rost, Burkhard

PY - 2013

Y1 - 2013

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AB - We report the release of PredictProtein for the Debian operating system and derivatives, such as Ubuntu, Bio-Linux, and Cloud BioLinux. The PredictProtein suite is available as a standard set of open source Debian packages. The release covers the most popular prediction methods from the Rost Lab, including methods for the prediction of secondary structure and solvent accessibility (profphd), nuclear localization signals (predictnls), and intrinsically disordered regions (norsnet). We also present two case studies that successfully utilize PredictProtein packages for high performance computing in the cloud: the first analyzes protein disorder for whole organisms, and the second analyzes the effect of all possible single sequence variants in protein coding regions of the human genome.

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Cloud prediction of protein structure and function with PredictProtein for Debian

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