Evidence map›Paper›PMID 25620116›Full record

ArticleProteins2015

Systematic solution to homo-oligomeric structures determined by NMR.

Jeffrey W Martin, Pei Zhou, Bruce R Donald

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Algorithms for protein design.Current opinion in structural biology · 2016
    Review
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

3 authors.

Jeffrey W MartinDepartment of Computer Science, Duke University, Durham, North Carolina, 27708.
Pei Zhou
Bruce R Donald

Funding

Computational Structure-Based Protein DesignR01GM078031 · NIGMS · DUKE UNIVERSITY · PI DONALD, BRUCE R. · 2008 to 2021
$4.3M
Structure and Mechanism of LpxC in Lipid A BiosynthesisR01AI055588 · NIAID · DUKE UNIVERSITY · PI ZHOU, PEI · 2003 to 2012
$3.0M
Automated NMR Assignment and Protein Structure DeterminationR01GM065982 · NIGMS · DUKE UNIVERSITY · PI DONALD, BRUCE R. · 2002 to 2011
$2.7M
NIAID NIH HHS R01 AI-055588NIAID NIH HHS R01 AI055588NIGMS NIH HHS R01 GM065982NIGMS NIH HHS R01 GM078031NIGMS NIH HHS R01 GM-65982NIGMS NIH HHS R01 GM-78031
6 · The paper itself

Abstract

Protein structure determination by NMR has predominantly relied on simulated annealing-based conformational search for a converged fold using primarily distance constraints, including constraints derived from nuclear Overhauser effects, paramagnetic relaxation enhancement, and cysteine crosslinkings. Although there is no guarantee that the converged fold represents the global minimum of the conformational space, it is generally accepted that good convergence is synonymous to the global minimum. Here, we show such a criterion breaks down in the presence of large numbers of ambiguous constraints from NMR experiments on homo-oligomeric protein complexes. A systematic evaluation of the conformational solutions that satisfy the NMR constraints of a trimeric membrane protein, DAGK, reveals 9 distinct folds, including the reported NMR and crystal structures. This result highlights the fundamental limitation of global fold determination for homo-oligomeric proteins using ambiguous distance constraints and provides a systematic solution for exhaustive enumeration of all satisfying solutions.

Indexed as

Magnetic Resonance SpectroscopyModels, MolecularProtein ConformationProtein FoldingProtein MultimerizationProteinsProtein SubunitsProteinsProtein Subunitsdistance restraintnuclear magnetic resonance spectroscopyprotein homo-oligomerssimulated annealingstructure determination

Identifiers

PMID25620116
PMCPMC4568557

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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.