Evidence map›Paper›PMID 21731610›Full record

ArticlePloS one2011

RosettaScripts: a scripting language interface to the Rosetta macromolecular modeling suite.

Sarel J Fleishman, Andrew Leaver-Fay, Jacob E Corn, Eva-Maria Strauch, Sagar D Khare, Nobuyasu Koga, Justin Ashworth, Paul Murphy, Florian Richter, Gordon Lemmon and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 410 papers.

0numbers the graph read from it
0cells of the map it votes in
410citing papers in PubMed
7.3field-weighted citation impact, top 2% of its field
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

410 citing papers in PubMed, 705 citations in OpenAlex.

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350 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

12 authors at 3 institutions in 1 country.

Sarel J FleishmanDepartment of Biochemistry, University of Washington, Seattle, Washington, United States of America. sarelf@uw.edu
Andrew Leaver-Fay
Jacob E Corn
Eva-Maria Strauch
Sagar D Khare
Nobuyasu Koga
Justin Ashworth
Paul Murphy
Florian Richter
Gordon Lemmon
Jens Meiler
David Baker
University of Washington · USVanderbilt University · USUniversity of North Carolina at Chapel Hill · US

Funding

MOLECULAR BIOPHYSICS TRAINING PROGRAM AT VANDERBILTT32GM008320 · NIGMS · VANDERBILT UNIVERSITY · PI CHAZIN, WALTER J. · 1989 to 2023
$7.9M
Howard Hughes Medical InstituteNIGMS NIH HHS T32 GM008320
6 · The paper itself

Abstract

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.

Indexed as

Models, MolecularProgramming LanguagesSoftwareUser-Computer InterfaceDNA-Binding ProteinsLigandsProtein ConformationDNA-Binding ProteinsLigands

Identifiers

PMID21731610
PMCPMC3123292
OpenAlexW2084493621

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.