Evidence map›Paper›PMID 18483082›Full record

ArticleNucleic acids research2008

PROTEUS2: a web server for comprehensive protein structure prediction and structure-based annotation.

Scott Montgomerie, Joseph A Cruz, Savita Shrivastava, David Arndt, Mark Berjanskii, David S Wishart

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

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  12. Insight into Protein Engineering: FromCurrent pharmaceutical design · 2025
    Review
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  17. MLe-KCNQ2: An Artificial Intelligence Model for the Prognosis of MissenseInternational journal of molecular sciences · 2024
    Article
  18. Article
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  20. Article
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

6 authors.

Scott MontgomerieDepartment of Computing Science and Department of Biological Sciences, University of Alberta and National Research Council, National Institute for Nanotechnology (NINT), Edmonton, AB, Canada T6G 2E8.
Joseph A Cruz
Savita Shrivastava
David Arndt
Mark Berjanskii
David S Wishart

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PROTEUS2 is a web server designed to support comprehensive protein structure prediction and structure-based annotation. PROTEUS2 accepts either single sequences (for directed studies) or multiple sequences (for whole proteome annotation) and predicts the secondary and, if possible, tertiary structure of the query protein(s). Unlike most other tools or servers, PROTEUS2 bundles signal peptide identification, transmembrane helix prediction, transmembrane beta-strand prediction, secondary structure prediction (for soluble proteins) and homology modeling (i.e. 3D structure generation) into a single prediction pipeline. Using a combination of progressive multi-sequence alignment, structure-based mapping, hidden Markov models, multi-component neural nets and up-to-date databases of known secondary structure assignments, PROTEUS is able to achieve among the highest reported levels of predictive accuracy for signal peptides (Q2 = 94%), membrane spanning helices (Q2 = 87%) and secondary structure (Q3 score of 81.3%). PROTEUS2's homology modeling services also provide high quality 3D models that compare favorably with those generated by SWISS-MODEL and 3D JigSaw (within 0.2 A RMSD). The average PROTEUS2 prediction takes approximately 3 min per query sequence. The PROTEUS2 server along with source code for many of its modules is accessible a http://wishart.biology.ualberta.ca/proteus2.

Indexed as

Protein Structure, SecondarySoftwareStructural Homology, ProteinAlgorithmsInternetMembrane ProteinsModels, MolecularProtein Sorting SignalsSequence Analysis, ProteinMembrane ProteinsProtein Sorting Signals

Identifiers

PMID18483082
PMCPMC2447806

What OpenQuestion holds

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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.