Evidence map›Paper›PMID 29374165›Full record

ArticleNature communications2018

Automated NMR resonance assignments and structure determination using a minimal set of 4D spectra.

Thomas Evangelidis, Santrupti Nerli, Jiří Nováček, Andrew E Brereton, P Andrew Karplus, Rochelle R Dotas, Vincenzo Venditti, Nikolaos G Sgourakis, Konstantinos Tripsianes

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Facilitating NMR Resonance Assignment with Metabolic Tampering.bioRxiv : the preprint server for biology · 2026
    Article
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  19. Article
  20. CS-ROSETTA.Methods in enzymology · 2019
    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

9 authors.

Thomas EvangelidisCEITEC-Central European Institute of Technology, Masaryk University, Kamenice 5, Brno, 62500, Czech Republic.
Santrupti NerliDepartment of Chemistry and Biochemistry, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
Jiří NováčekCEITEC-Central European Institute of Technology, Masaryk University, Kamenice 5, Brno, 62500, Czech Republic.
Andrew E BreretonDepartment of Biochemistry and Biophysics, 2011 Ag & Life Sciences Bldg, Oregon State University, Corvallis, OR, 97331, USA.
P Andrew KarplusDepartment of Biochemistry and Biophysics, 2011 Ag & Life Sciences Bldg, Oregon State University, Corvallis, OR, 97331, USA.
Rochelle R DotasDepartment of Chemistry, Iowa State University, 2438 Pammel Drive, Ames, IA, 50011, USA.
Vincenzo VendittiDepartment of Chemistry, Iowa State University, 2438 Pammel Drive, Ames, IA, 50011, USA.
Nikolaos G SgourakisDepartment of Computer Science, University of California Santa Cruz, Santa Cruz, CA, 95064, USA. nsgourak@ucsc.edu.
Konstantinos TripsianesCEITEC-Central European Institute of Technology, Masaryk University, Kamenice 5, Brno, 62500, Czech Republic. kostas.tripsianes@ceitec.muni.cz.

Funding

An integrative structural biology approach to understanding metabolite recognition by cellular receptorsR35GM125034 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI SGOURAKIS, NIKOLAOS · 2017 to 2025
$4.7M
800 MHz NMR Spectrometer and Helium CryoprobeS10OD018455 · OD · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI MILLHAUSER, GLENN L · 2015 to 2015
$2.0M
Improving Modeling by Learning from Details of High Accuracy Protein StructuresR01GM083136 · NIGMS · OREGON STATE UNIVERSITY · PI KARPLUS, PAUL ANDREW · 2008 to 2015
$1.7M
A structural approach to the study of viral Immune interference mechanismsK22AI112573 · NIAID · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI SGOURAKIS, NIKOLAOS · 2015 to 2016
$270k
NIAID NIH HHS K22 AI112573NIGMS NIH HHS R01 GM083136NIGMS NIH HHS R35 GM125034NIH HHS S10 OD018455
6 · The paper itself

Abstract

Automated methods for NMR structure determination of proteins are continuously becoming more robust. However, current methods addressing larger, more complex targets rely on analyzing 6-10 complementary spectra, suggesting the need for alternative approaches. Here, we describe 4D-CHAINS/autoNOE-Rosetta, a complete pipeline for NOE-driven structure determination of medium- to larger-sized proteins. The 4D-CHAINS algorithm analyzes two 4D spectra recorded using a single, fully protonated protein sample in an iterative ansatz where common NOEs between different spin systems supplement conventional through-bond connectivities to establish assignments of sidechain and backbone resonances at high levels of completeness and with a minimum error rate. The 4D-CHAINS assignments are then used to guide automated assignment of long-range NOEs and structure refinement in autoNOE-Rosetta. Our results on four targets ranging in size from 15.5 to 27.3 kDa illustrate that the structures of proteins can be determined accurately and in an unsupervised manner in a matter of days.

Indexed as

AlgorithmsBacterial ProteinsModels, MolecularNuclear Magnetic Resonance, BiomolecularProtein Conformation, alpha-HelicalProtein Conformation, beta-StrandThermoanaerobacterBacterial Proteins

Identifiers

PMID29374165
PMCPMC5786013

What OpenQuestion holds

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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.