Evidence map›Paper›PMID 16258827›Full record

ArticleJournal of biomolecular NMR2005

Estimating the accuracy of protein structures using residual dipolar couplings.

Katya Simon, Jun Xu, Chinpal Kim, Nikolai R Skrynnikov

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of biomolecular NMR, 2005. 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
0.5field-weighted citation impact, top 38% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Katya SimonDepartment of Chemistry, Purdue University, West Lafayette, IN 47907, USA.
Jun Xu
Chinpal Kim
Nikolai R Skrynnikov
Purdue University West Lafayette · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been commonly recognized that residual dipolar coupling data provide a measure of quality for protein structures. To quantify this observation, a database of 100 single-domain proteins has been compiled where each protein was represented by two independently solved structures. Backbone 1H-15N dipolar couplings were simulated for the target structures and then fitted to the model structures. The fits were characterized by an R-factor which was corrected for the effects of non-uniform distribution of dipolar vectors on a unit sphere. The analyses show that favorable R values virtually guarantee high accuracy of the model structure (where accuracy is defined as the backbone coordinate rms deviation). On the other hand, unfavorable R values do not necessarily suggest low accuracy. Based on the simulated data, a simple empirical formula is proposed to estimate the accuracy of protein structures. The method is illustrated with a number of examples, including PDZ2 domain of human phosphatase hPTP1E.

Indexed as

Protein ConformationComputer SimulationDatabases, ProteinHumansModels, MolecularNitrogen IsotopesNuclear Magnetic Resonance, BiomolecularProtein Structure, TertiaryProtein Tyrosine Phosphatase, Non-Receptor Type 13Protein Tyrosine PhosphatasesProtonsSoftwareNitrogen IsotopesProtein Tyrosine Phosphatase, Non-Receptor Type 13Protein Tyrosine PhosphatasesProtonsPTPN13 protein, human

Identifiers

PMID16258827
OpenAlexW2002171532

What OpenQuestion holds

Textmetadata
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.