49
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Serverification of Molecular Modeling Applications: The Rosetta Online Server That Includes Everyone (ROSIE)

      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

          The Rosetta molecular modeling software package provides experimentally tested and rapidly evolving tools for the 3D structure prediction and high-resolution design of proteins, nucleic acids, and a growing number of non-natural polymers. Despite its free availability to academic users and improving documentation, use of Rosetta has largely remained confined to developers and their immediate collaborators due to the code’s difficulty of use, the requirement for large computational resources, and the unavailability of servers for most of the Rosetta applications. Here, we present a unified web framework for Rosetta applications called ROSIE (Rosetta Online Server that Includes Everyone). ROSIE provides (a) a common user interface for Rosetta protocols, (b) a stable application programming interface for developers to add additional protocols, (c) a flexible back-end to allow leveraging of computer cluster resources shared by RosettaCommons member institutions, and (d) centralized administration by the RosettaCommons to ensure continuous maintenance. This paper describes the ROSIE server infrastructure, a step-by-step ‘serverification’ protocol for use by Rosetta developers, and the deployment of the first nine ROSIE applications by six separate developer teams: Docking, RNA de novo, ERRASER, Antibody, Sequence Tolerance, Supercharge, Beta peptide design, NCBB design, and VIP redesign. As illustrated by the number and diversity of these applications, ROSIE offers a general and speedy paradigm for serverification of Rosetta applications that incurs negligible cost to developers and lowers barriers to Rosetta use for the broader biological community. ROSIE is available at http://rosie.rosettacommons.org.

          Related collections

          Most cited references40

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

            The RosettaDock server for local protein–protein docking

            The RosettaDock server (http://rosettadock.graylab.jhu.edu) identifies low-energy conformations of a protein–protein interaction near a given starting configuration by optimizing rigid-body orientation and side-chain conformations. The server requires two protein structures as inputs and a starting location for the search. RosettaDock generates 1000 independent structures, and the server returns pictures, coordinate files and detailed scoring information for the 10 top-scoring models. A plot of the total energy of each of the 1000 models created shows the presence or absence of an energetic binding funnel. RosettaDock has been validated on the docking benchmark set and through the Critical Assessment of PRedicted Interactions blind prediction challenge.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Sub-angstrom accuracy in protein loop reconstruction by robotics-inspired conformational sampling.

                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                22 May 2013
                : 8
                : 5
                : e63906
                Affiliations
                [1 ]Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, United States of America
                [2 ]Department of Biochemistry, Stanford University School of Medicine, Stanford, California, United States of America
                [3 ]Biophysics Program, Stanford University, Stanford, California, United States of America
                [4 ]Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
                [5 ]California Institute for Quantitative Biomedical Research, University of California San Francisco, San Francisco, California, United States of America
                [6 ]Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America
                [7 ]Department of Biology, Center for Genomics and Systems Biology, New York University, New York, New York, United States of America
                [8 ]Computer Science Department, Courant Institute of Mathematical Sciences, New York University, New York, New York, United States of America
                [9 ]Program in Molecular Biophysics, The Johns Hopkins University, Baltimore, Maryland, United States of America
                [10 ]Department of Physics, Stanford University, Stanford, California, United States of America
                [11 ]Department of Genetics, Washington University in St. Louis, St. Louis, Missouri, United States of America
                [12 ]Graduate Group in Biophysics, University of California San Francisco, San Francisco, California, United States of America
                University of South Florida College of Medicine, United States of America
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Contributed reagents/materials/analysis tools: SL FC SÓC BD KD DK JX BW PDR PS BB JH BK TK RB JG RD. Wrote the paper: SL FC SÓC BD KD DK JX BW PDR PS BB JH BK TK RB JG RD.

                Article
                PONE-D-13-06189
                10.1371/journal.pone.0063906
                3661552
                23717507
                1302.0029
                5eff9104-6db8-4463-91ae-7087693b290f
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 28 January 2013
                : 4 April 2013
                Page count
                Pages: 11
                Funding
                The authors acknowledge financial support from the United States National Institutes of Health (R01-GM073151 to B.K., J.J.G. and S.L.; R01-GM078221 to J.J.G., R21-GM102716 to R.D., R00-RR024107 to J.J.H., U54CA143907-01 and PN2 EY016586-06 to R.B. and P.D.R. and K.D., T32 GM 88118-2 to K.D.), a Burroughs-Wellcome Career Award at Scientific Interface (R.D.), Governmental Scholarship for Study Abroad of Taiwan and Howard Hughes Medical and Institute International Student Research Fellowship (F.-C.C.), and the DARPA Antibody Technology Program (HR-0011-10-1-0052) for J.X. and D.K. S.Ó.C and T.K. were supported by grants from the National Science Foundation (MCB-CAREER 0744541, EF-0849400, EEC-0540879) and the UC Lab Research Program. R.B., P.D.R. and K.D. were supported by United States National Science Foundation (CHE-1151554 and NSF IOS-1126971 to R.B. and P.D.R. and K.D.). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Biochemistry
                Proteins
                Protein Structure
                Biophysics
                Nucleic Acids
                Computational Biology
                Genomics
                Structure Prediction
                Macromolecular Structure Analysis
                Computer Science
                Computer Modeling
                Software Engineering
                Constructive Research
                Software Design

                Uncategorized
                Uncategorized

                Comments

                Comment on this article