Evidence map›Paper›PMID 31047599›Full record

ReviewProgress in nuclear magnetic resonance spectroscopy

Chemical shift-based methods in NMR structure determination.

Santrupti Nerli, Andrew C McShan, Nikolaos G Sgourakis

Abstract readReview
In one paragraph

Review in Progress in nuclear magnetic resonance spectroscopy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Solution mapping of MHC-I:TCR interactions using a minimalistic protein system.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Recent Advances in NMR Protein Structure Prediction with ROSETTA.International journal of molecular sciences · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Benchmarking AlphaFold2 on peptide structure prediction.Structure (London, England : 1993) · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Santrupti NerliDepartment of Chemistry and Biochemistry, University of California Santa Cruz, Santa Cruz, CA 95064, United States; Department of Computer Science, University of California Santa Cruz, Santa Cruz, CA 95064, United States.
Andrew C McShanDepartment of Chemistry and Biochemistry, University of California Santa Cruz, Santa Cruz, CA 95064, United States.
Nikolaos G SgourakisDepartment of Chemistry and Biochemistry, University of California Santa Cruz, Santa Cruz, CA 95064, United States. Electronic address: nsgourak@ucsc.edu.

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
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 R35 GM125034NIH HHS S10 OD018455
6 · The paper itself

Abstract

Chemical shifts are highly sensitive probes harnessed by NMR spectroscopists and structural biologists as conformational parameters to characterize a range of biological molecules. Traditionally, assignment of chemical shifts has been a labor-intensive process requiring numerous samples and a suite of multidimensional experiments. Over the past two decades, the development of complementary computational approaches has bolstered the analysis, interpretation and utilization of chemical shifts for elucidation of high resolution protein and nucleic acid structures. Here, we review the development and application of chemical shift-based methods for structure determination with a focus on ab initio fragment assembly, comparative modeling, oligomeric systems, and automated assignment methods. Throughout our discussion, we point out practical uses, as well as advantages and caveats, of using chemical shifts in structure modeling. We additionally highlight (i) hybrid methods that employ chemical shifts with other types of NMR restraints (residual dipolar couplings, paramagnetic relaxation enhancements and pseudocontact shifts) that allow for improved accuracy and resolution of generated 3D structures, (ii) the utilization of chemical shifts to model the structures of sparsely populated excited states, and (iii) modeling of sidechain conformations. Finally, we briefly discuss the advantages of contemporary methods that employ sparse NMR data recorded using site-specific isotope labeling schemes for chemical shift-driven structure determination of larger molecules. With this review, we aim to emphasize the accessibility and versatility of chemical shifts for structure determination of challenging biological systems, and to point out emerging areas of development that lead us towards the next generation of tools.

Indexed as

AnimalsHumansMagnetic Resonance SpectroscopyModels, MolecularNucleic Acid ConformationNucleic AcidsProtein ConformationProteinsNucleic AcidsProteinsAutomated methodsChemical shiftsCS-RosettaHybrid methodsNMR structure determinationProtein structure

Identifiers

PMID31047599
PMCPMC6788782

What OpenQuestion holds

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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.