Evidence map›Paper›PMID 23717507›Full record

ArticlePloS one2013

Serverification of molecular modeling applications: the Rosetta Online Server that Includes Everyone (ROSIE).

Sergey Lyskov, Fang-Chieh Chou, Shane Ó Conchúir, Bryan S Der, Kevin Drew, Daisuke Kuroda, Jianqing Xu, Brian D Weitzner, P Douglas Renfrew, Parin Sripakdeevong and 7 more

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 261 papers.

0numbers the graph read from it
0cells of the map it votes in
261citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

261 citing papers in PubMed.

  1. Article
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  4. Strategic Template Filtering Accelerates Fragment-Based Peptide Docking.Journal of chemical information and modeling · 2026
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  13. Review
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201 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Sergey LyskovDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, USA.
Fang-Chieh Chou
Shane Ó Conchúir
Bryan S Der
Kevin Drew
Daisuke Kuroda
Jianqing Xu
Brian D Weitzner
P Douglas Renfrew
Parin Sripakdeevong
Benjamin Borgo
James J Havranek
Brian Kuhlman
Tanja Kortemme
Richard Bonneau
Jeffrey J Gray
Rhiju Das

Funding

Nanomedicine development center for mechanobiologyPN2EY016586 · NEI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DUSTIN, MICHAEL LORAN · 2005 to 2014
$23.0M
TRANS-NETWORK PROJECTSU54CA143907 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KESSELMAN, CARL · 2009 to 2013
$15.2M
ROSETTA An Integrated Protein Structure Modeling SuiteR01GM073151 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KUHLMAN, BRIAN A · 2005 to 2019
$7.8M
Prediction of the Structure of Therapeutic Antibodies with their AntigensR01GM078221 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI GRAY, JEFFREY J · 2006 to 2020
$4.0M
Designing Affinity and Specificity at Protein InterfacesR01GM073960 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KUHLMAN, BRIAN A · 2005 to 2018
$3.1M
Training program in Molecular BiophysicsT32GM088118 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI STOKES, DAVID L. · 2010 to 2019
$1.8M
A MOLECULAR TOOLKIT FOR SINGLE-MOLECULE PROTEIN SEQUENCINGR01GM101602 · NIGMS · WASHINGTON UNIVERSITY · PI HAVRANEK, JAMES J · 2012 to 2016
$1.4M
Computational Modeling and Design of Specific Protein-DNA InterfacesR00RR024107 · NCRR · WASHINGTON UNIVERSITY · PI HAVRANEK, JAMES J · 2008 to 2010
$742k
Correcting Pervasive Errors in RNA Crystallography with RosettaR21GM102716 · NIGMS · STANFORD UNIVERSITY · PI DAS, RHIJU · 2012 to 2013
$302k
NCI NIH HHS U54 CA143907NCI NIH HHS U54CA143907-01NCRR NIH HHS R00 RR024107NCRR NIH HHS R00-RR024107NEI NIH HHS PN2 EY016586NEI NIH HHS PN2 EY016586-06NIGMS NIH HHS R01 GM073151NIGMS NIH HHS R01-GM073151NIGMS NIH HHS R01 GM073960NIGMS NIH HHS R01 GM078221NIGMS NIH HHS R01-GM078221NIGMS NIH HHS R01 GM101602NIGMS NIH HHS R21 GM102716NIGMS NIH HHS R21-GM102716NIGMS NIH HHS T32 GM088118NIGMS NIH HHS T32 GM 88118-2Wellcome Trust
6 · The paper itself

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.

Indexed as

InternetModels, MolecularSoftwareUser-Computer InterfaceMolecular Dynamics Simulation

Identifiers

PMID23717507
PMCPMC3661552

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.