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Bioinformatics. 2017 Sep 1;33(17):2765-2767. doi: 10.1093/bioinformatics/btx283.

Foldit Standalone: a video game-derived protein structure manipulation interface using Rosetta.

Author information

1
College of Computer and Information Science, Northeastern University, Boston, MA 02115, USA.
2
Department of Computer Science and Engineering, University of Washington, Seattle, WA 98195, USA.
3
Department of Biochemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
4
Department of Biochemistry.
5
Institute for Protein Design.
6
Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA.
7
Genome Center.
8
Department of Chemistry.
9
Department of Biochemistry and Molecular Medicine, University of California Davis, Davis, CA 95616, USA.
10
Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA 02747, USA.

Abstract

Summary:

Foldit Standalone is an interactive graphical interface to the Rosetta molecular modeling package. In contrast to most command-line or batch interactions with Rosetta, Foldit Standalone is designed to allow easy, real-time, direct manipulation of protein structures, while also giving access to the extensive power of Rosetta computations. Derived from the user interface of the scientific discovery game Foldit (itself based on Rosetta), Foldit Standalone has added more advanced features and removed the competitive game elements. Foldit Standalone was built from the ground up with a custom rendering and event engine, configurable visualizations and interactions driven by Rosetta. Foldit Standalone contains, among other features: electron density and contact map visualizations, multiple sequence alignment tools for template-based modeling, rigid body transformation controls, RosettaScripts support and an embedded Lua interpreter.

Availability and Implementation:

Foldit Standalone is available for download at https://fold.it/standalone , under the Rosetta license, which is free for academic and non-profit users. It is implemented in cross-platform C ++ and binary executables are available for Windows, macOS and Linux.

Contact:

scooper@ccs.neu.edu.

PMID:
28481970
PMCID:
PMC5860063
DOI:
10.1093/bioinformatics/btx283
[Indexed for MEDLINE]
Free PMC Article

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