12
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

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

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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@ 123456ccs.neu.edu

          Related collections

          Most cited references9

          • Record: found
          • Abstract: found
          • Article: not found

          ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules.

          We have recently completed a full re-architecturing of the ROSETTA molecular modeling program, generalizing and expanding its existing functionality. The new architecture enables the rapid prototyping of novel protocols by providing easy-to-use interfaces to powerful tools for molecular modeling. The source code of this rearchitecturing has been released as ROSETTA3 and is freely available for academic use. At the time of its release, it contained 470,000 lines of code. Counting currently unpublished protocols at the time of this writing, the source includes 1,285,000 lines. Its rapid growth is a testament to its ease of use. This chapter describes the requirements for our new architecture, justifies the design decisions, sketches out central classes, and highlights a few of the common tasks that the new software can perform. © 2011 Elsevier Inc. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Protein structure prediction using Rosetta.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite

              Macromolecular modeling and design are increasingly useful in basic research, biotechnology, and teaching. However, the absence of a user-friendly modeling framework that provides access to a wide range of modeling capabilities is hampering the wider adoption of computational methods by non-experts. RosettaScripts is an XML-like language for specifying modeling tasks in the Rosetta framework. RosettaScripts provides access to protocol-level functionalities, such as rigid-body docking and sequence redesign, and allows fast testing and deployment of complex protocols without need for modifying or recompiling the underlying C++ code. We illustrate these capabilities with RosettaScripts protocols for the stabilization of proteins, the generation of computationally constrained libraries for experimental selection of higher-affinity binding proteins, loop remodeling, small-molecule ligand docking, design of ligand-binding proteins, and specificity redesign in DNA-binding proteins.
                Bookmark

                Author and article information

                Journal
                Bioinformatics
                Bioinformatics
                bioinformatics
                Bioinformatics
                Oxford University Press
                1367-4803
                1367-4811
                01 September 2017
                08 May 2017
                08 May 2017
                : 33
                : 17
                : 2765-2767
                Affiliations
                [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
                Author notes
                [* ]To whom correspondence should be addressed.
                [*]

                Associate Editor: Alfonso Valencia

                Article
                btx283
                10.1093/bioinformatics/btx283
                5860063
                28481970
                b8df0284-b2b2-4ecc-bf09-f21aeb60a03b
                © The Author 2017. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 26 December 2016
                : 17 March 2017
                : 4 May 2017
                Page count
                Pages: 3
                Funding
                Funded by: National Science Foundation 10.13039/100000001
                Award ID: 1629879
                Funded by: National Institutes of Health 10.13039/100000002
                Award ID: 1UH2CA203780
                Categories
                Applications Notes
                Structural Bioinformatics

                Bioinformatics & Computational biology
                Bioinformatics & Computational biology

                Comments

                Comment on this article