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      Protocols for Molecular Modeling with Rosetta3 and RosettaScripts

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          Abstract

          Previously, we published an article providing an overview of the Rosetta suite of biomacromolecular modeling software and a series of step-by-step tutorials [Kaufmann, K. W., et al. (2010) Biochemistry 49, 2987–2998]. The overwhelming positive response to this publication we received motivates us to here share the next iteration of these tutorials that feature de novo folding, comparative modeling, loop construction, protein docking, small molecule docking, and protein design. This updated and expanded set of tutorials is needed, as since 2010 Rosetta has been fully redesigned into an object-oriented protein modeling program Rosetta3. Notable improvements include a substantially improved energy function, an XML-like language termed “RosettaScripts” for flexibly specifying modeling task, new analysis tools, the addition of the TopologyBroker to control conformational sampling, and support for multiple templates in comparative modeling. Rosetta’s ability to model systems with symmetric proteins, membrane proteins, noncanonical amino acids, and RNA has also been greatly expanded and improved.

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          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 Counting currently unpublished protocols at the time of this writing, the source includes 1,285,000 lines.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.
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            Protein structure prediction using Rosetta.

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              Rational HIV immunogen design to target specific germline B cell receptors.

              Vaccine development to induce broadly neutralizing antibodies (bNAbs) against HIV-1 is a global health priority. Potent VRC01-class bNAbs against the CD4 binding site of HIV gp120 have been isolated from HIV-1-infected individuals; however, such bNAbs have not been induced by vaccination. Wild-type gp120 proteins lack detectable affinity for predicted germline precursors of VRC01-class bNAbs, making them poor immunogens to prime a VRC01-class response. We employed computation-guided, in vitro screening to engineer a germline-targeting gp120 outer domain immunogen that binds to multiple VRC01-class bNAbs and germline precursors, and elucidated germline binding crystallographically. When multimerized on nanoparticles, this immunogen (eOD-GT6) activates germline and mature VRC01-class B cells. Thus, eOD-GT6 nanoparticles have promise as a vaccine prime. In principle, germline-targeting strategies could be applied to other epitopes and pathogens.
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                Author and article information

                Journal
                Biochemistry
                Biochemistry
                bi
                bichaw
                Biochemistry
                American Chemical Society
                0006-2960
                1520-4995
                04 August 2016
                30 August 2016
                : 55
                : 34
                : 4748-4763
                Affiliations
                []Department of Pharmacology, Vanderbilt University , Nashville, Tennessee 37232-6600, United States
                []Center for Structural Biology, Vanderbilt University , Nashville, Tennessee 37240-7917, United States
                [§ ]Chemical and Physical Biology Program, Vanderbilt University , Nashville, Tennessee 37232-0301, United States
                []Department of Chemistry, Vanderbilt University , Nashville, Tennessee 37235, United States
                []Department of Pathology, Microbiology and Immunology, Vanderbilt University , Nashville, Tennessee 37232-2561, United States
                [# ]Neuroscience Program, Vanderbilt University , Nashville, Tennessee 37235, United States
                [@ ]Department of Biochemistry, University of Washington , Seattle, Washington 98195, United States
                Author notes
                [* ]Department of Chemistry, Vanderbilt University, 7330 Stevenson Center, Station B 351822, Nashville, TN 37235. E-mail: rocco.moretti@ 123456vanderbilt.edu . Telephone: +1 (615) 936-6594.
                Article
                10.1021/acs.biochem.6b00444
                5007558
                27490953
                f37fe091-c365-4bb3-8b72-905ba3a7d3bf
                Copyright © 2016 American Chemical Society

                This is an open access article published under an ACS AuthorChoice License, which permits copying and redistribution of the article or any adaptations for non-commercial purposes.

                History
                : 05 May 2016
                : 29 July 2016
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                Biochemistry
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