Evidence map›Paper›PMID 30799888›Full record

ArticleDiscrete applied mathematics (Amsterdam, Netherlands : 1988)2019

Minimal NMR distance information for rigidity of protein graphs.

Carlile Lavor, Leo Liberti, Bruce Donald, Bradley Worley, Benjamin Bardiaux, Thérèse E Malliavin, Michael Nilges

Abstract read
In one paragraph

Article in Discrete applied mathematics (Amsterdam, Netherlands : 1988), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Carlile LavorUniversity of Campinas (IMECC-UNICAMP), 13081-970, Campinas - SP, Brazil.
Leo LibertiCNRS LIX, École Polytechnique, 91128 Palaiseau, France.
Bruce DonaldDuke University, Department of Computer Science, Durham, NC 27708-0129, USA.
Bradley WorleyInstitut Pasteur, Structural Bioinformatics Unit, 25 rue du Dr. Roux, 75015 Paris, France.
Benjamin BardiauxInstitut Pasteur, Structural Bioinformatics Unit, 25 rue du Dr. Roux, 75015 Paris, France.
Thérèse E MalliavinInstitut Pasteur, Structural Bioinformatics Unit, 25 rue du Dr. Roux, 75015 Paris, France.
Michael NilgesInstitut Pasteur, Structural Bioinformatics Unit, 25 rue du Dr. Roux, 75015 Paris, France.

Funding

Computational Structure-Based Protein DesignR01GM078031 · NIGMS · DUKE UNIVERSITY · PI DONALD, BRUCE R. · 2008 to 2021
$4.3M
Deep Topological Sampling of Protein StructuresR01GM118543 · NIGMS · DUKE UNIVERSITY · PI DONALD, BRUCE R. · 2017 to 2020
$1.4M
NIGMS NIH HHS R01 GM078031NIGMS NIH HHS R01 GM118543
6 · The paper itself

Abstract

Nuclear Magnetic Resonance (NMR) experiments provide distances between nearby atoms of a protein molecule. The corresponding structure determination problem is to determine the 3D protein structure by exploiting such distances. We present a new order on the atoms of the protein, based on information from the chemistry of proteins and NMR experiments, which allows us to formulate the problem as a combinatorial search. Additionally, this order tells us what kind of NMR distance information is crucial to understand the cardinality of the solution set of the problem and its computational complexity.

Indexed as

Distance geometryMolecular structureNuclear magnetic resonanceVertex orders

Identifiers

PMID30799888
PMCPMC6380886

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.