Evidence map›Paper›PMID 26178143›Full record

ArticleProteins2015

Structure alignment of membrane proteins: Accuracy of available tools and a consensus strategy.

Marcus Stamm, Lucy R Forrest

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Proteins, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Marcus StammComputational Structural Biology Group, Max Planck Institute of Biophysics, Frankfurt Am Main, Germany.
Lucy R ForrestComputational Structural Biology Group, Max Planck Institute of Biophysics, Frankfurt Am Main, Germany.ORCID http://orcid.org/0000-0003-1855-7985
Max Planck Institute of Biophysics · DENational Institutes of Health · US

Funding

Development and assessment of methods for studying membrane protein structure and functionZIANS003143 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI FORREST, LUCY · 2014 to 2025
$8.9M
Intramural NIH HHS ZIA NS003143
6 · The paper itself

Abstract

Protein structure alignment methods are used for the detection of evolutionary and functionally related positions in proteins. A wide array of different methods are available, but the choice of the best method is often not apparent to the user. Several studies have assessed the alignment accuracy and consistency of structure alignment methods, but none of these explicitly considered membrane proteins, which are important targets for drug development and have distinct structural features. Here, we compared 13 widely used pairwise structural alignment methods on a test set of homologous membrane protein structures (called HOMEP3). Each pair of structures was aligned and the corresponding sequence alignment was used to construct homology models. The model accuracy compared to the known structures was assessed using scoring functions not incorporated in the tested structural alignment methods. The analysis shows that fragment-based approaches such as FR-TM-align are the most useful for aligning structures of membrane proteins. Moreover, fragment-based approaches are more suitable for comparison of protein structures that have undergone large conformational changes. Nevertheless, no method was clearly superior to all other methods. Additionally, all methods lack a measure to rate the reliability of a position within a structure alignment. To solve both of these problems, we propose a consensus-type approach, combining alignments from four different methods, namely FR-TM-align, DaliLite, MATT, and FATCAT. Agreement between the methods is used to assign confidence values to each position of the alignment. Overall, we conclude that there remains scope for the improvement of structural alignment methods for membrane proteins.

Indexed as

AlgorithmsProtein ConformationAmino Acid SequenceComputational BiologyDatabases, ProteinMembrane ProteinsModels, MolecularMolecular Sequence DataProtein Structure, SecondaryProtein Structure, TertiaryReproducibility of ResultsSequence AlignmentSequence Homology, Amino AcidMembrane Proteinsbeta barrelconformational changeflexible alignmenthomology modelingintegral membrane proteinprotein structurestructure comparison

Identifiers

PMID26178143
PMCPMC4545697
OpenAlexW2122762531

What OpenQuestion holds

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LicenceTDM
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.