Evidence map›Paper›PMID 25973843›Full record

ArticleProteins2015

Accuracy issues involved in modeling in vivo protein structures using PM7.

Benjamin P Martin, Christopher J Brandon, James J P Stewart, Sonja B Braun-Sand

Abstract 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. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Benjamin P MartinDepartment of Chemistry and Biochemistry, University of Colorado, Boulder, Colorado, 80918.
Christopher J BrandonDepartment of Chemistry and Biochemistry, University of Colorado, Boulder, Colorado, 80918.
James J P StewartDepartment of Chemistry and Biochemistry, University of Colorado, Boulder, Colorado, 80918.
Sonja B Braun-SandDepartment of Chemistry and Biochemistry, University of Colorado, Boulder, Colorado, 80918.

Funding

Migrate enzyme modeling technology from development site to experimental researchR44GM108085 · NIGMS · STEWART COMPUTATIONAL CHEMISTRY · PI STEWART, JAMES JOSEPH PATRICK · 2014 to 2016
$572k
NIGMS NIH HHS R44 GM108085NIGMS NIH HHS R44GM108085
6 · The paper itself

Abstract

Using the semiempirical method PM7, an attempt has been made to quantify the error in prediction of the in vivo structure of proteins relative to X-ray structures. Three important contributory factors are the experimental limitations of X-ray structures, the difference between the crystal and solution environments, and the errors due to PM7. The geometries of 19 proteins from the Protein Data Bank that had small R values, that is, high accuracy structures, were optimized and the resulting drop in heat of formation was calculated. Analysis of the changes showed that about 10% of this decrease in heat of formation was caused by faults in PM7, the balance being attributable to the X-ray structure and the difference between the crystal and solution environments. A previously unknown fault in PM7 was revealed during tests to validate the geometries generated using PM7. Clashscores generated by the Molprobity molecular mechanics structure validation program showed that PM7 was predicting unrealistically close contacts between nonbonding atoms in regions where the local geometry is dominated by very weak noncovalent interactions. The origin of this fault was traced to an underestimation of the core-core repulsion between atoms at distances smaller than the equilibrium distance.

Indexed as

Models, MolecularProtein ConformationComputational BiologyCrystallography, X-RayDatabases, ProteinProteinsReproducibility of ResultsThermodynamicsProteinserrorsgeometry optimizationPDBPM7proteinsemiempiricalX-ray structures

Identifiers

PMID25973843
PMCPMC4744657

What OpenQuestion holds

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Registered trials

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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.