Evidence map›Paper›PMID 25897112›Full record

ArticleNucleic acids research2015

RBO Aleph: leveraging novel information sources for protein structure prediction.

Mahmoud Mabrouk, Ines Putz, Tim Werner, Michael Schneider, Moritz Neeb, Philipp Bartels, Oliver Brock

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  5. Article
  6. Assessing Predicted Contacts for Building Protein Three-Dimensional Models.Methods in molecular biology (Clifton, N.J.) · 2017
    Article
  7. Article
  8. Article
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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

7 authors.

Mahmoud MabroukRobotics and Biology Laboratory, Department of Electrical Engineering and Computer Science, Technische Universität Berlin, Marchstraße 23, 10587 Berlin, Germany.
Ines PutzRobotics and Biology Laboratory, Department of Electrical Engineering and Computer Science, Technische Universität Berlin, Marchstraße 23, 10587 Berlin, Germany.
Tim WernerRobotics and Biology Laboratory, Department of Electrical Engineering and Computer Science, Technische Universität Berlin, Marchstraße 23, 10587 Berlin, Germany.ORCID http://orcid.org/0000-0002-5055-6686
Michael SchneiderRobotics and Biology Laboratory, Department of Electrical Engineering and Computer Science, Technische Universität Berlin, Marchstraße 23, 10587 Berlin, Germany.
Moritz NeebRobotics and Biology Laboratory, Department of Electrical Engineering and Computer Science, Technische Universität Berlin, Marchstraße 23, 10587 Berlin, Germany.
Philipp BartelsRobotics and Biology Laboratory, Department of Electrical Engineering and Computer Science, Technische Universität Berlin, Marchstraße 23, 10587 Berlin, Germany.
Oliver BrockRobotics and Biology Laboratory, Department of Electrical Engineering and Computer Science, Technische Universität Berlin, Marchstraße 23, 10587 Berlin, Germany oliver.brock@tu-berlin.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RBO Aleph is a novel protein structure prediction web server for template-based modeling, protein contact prediction and ab initio structure prediction. The server has a strong emphasis on modeling difficult protein targets for which templates cannot be detected. RBO Aleph's unique features are (i) the use of combined evolutionary and physicochemical information to perform residue-residue contact prediction and (ii) leveraging this contact information effectively in conformational space search. RBO Aleph emerged as one of the leading approaches to ab initio protein structure prediction and contact prediction during the most recent Critical Assessment of Protein Structure Prediction experiment (CASP11, 2014). In addition to RBO Aleph's main focus on ab initio modeling, the server also provides state-of-the-art template-based modeling services. Based on template availability, RBO Aleph switches automatically between template-based modeling and ab initio prediction based on the target protein sequence, facilitating use especially for non-expert users. The RBO Aleph web server offers a range of tools for visualization and data analysis, such as the visualization of predicted models, predicted contacts and the estimated prediction error along the model's backbone. The server is accessible at http://compbio.robotics.tu-berlin.de/rbo_aleph/.

Indexed as

Protein ConformationSoftwareAlgorithmsInternetModels, MolecularSequence Analysis, Protein

Identifiers

PMID25897112
PMCPMC4489312

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.