Evidence map›Paper›PMID 26232926›Full record

ArticleJournal of biomolecular NMR2015

AFNMR: automated fragmentation quantum mechanical calculation of NMR chemical shifts for biomolecules.

Jason Swails, Tong Zhu, Xiao He, David A Case

Abstract read
In one paragraph

Article in Journal of biomolecular NMR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. NMR crystallography reveals active-site protonation states of Toho-1 β-lactamase in complex with avibactam.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Nature communications · 2026
    Article
  3. Application of NMR to Large RNAs.Journal of molecular biology · 2025
    Review
  4. Selective [9-Chembiochem : a European journal of chemical biology · 2025
    Article
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  6. Article
  7. Review
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  9. Article
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  12. Probing Watson-Crick and Hoogsteen base pairing in duplex DNA using dynamic nuclear polarization solid-state NMR spectroscopy.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. Article
  14. Article
  15. Review
  16. A quantitative model predicts how mNature communications · 2021
    Article
  17. Structural and Molecular Dynamics ofACS infectious diseases · 2021
    Article
  18. Article
  19. Review
  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

4 authors.

Jason SwailsDepartment of Chemistry and Chemical Biology and BioMaPS Institute, Rutgers University, Piscataway, NJ, 08854, USA.
Tong ZhuState Key Laboratory of Precision Spectroscopy, Institute of Theoretical and Computational Science, East China Normal University, Shanghai, 200062, China.
Xiao HeState Key Laboratory of Precision Spectroscopy, Institute of Theoretical and Computational Science, East China Normal University, Shanghai, 200062, China. xiaohe@phy.ecnu.edu.cn.
David A CaseDepartment of Chemistry and Chemical Biology and BioMaPS Institute, Rutgers University, Piscataway, NJ, 08854, USA. case@biomaps.rutgers.edu.

Funding

Solution and solid structures from NMRR01GM045811 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI CASE, DAVID A · 1991 to 2016
$3.7M
NIGMS NIH HHS GM45811NIGMS NIH HHS R01 GM045811
6 · The paper itself

Abstract

We evaluate the performance of the automated fragmentation quantum mechanics/molecular mechanics approach (AF-QM/MM) on the calculation of protein and nucleic acid NMR chemical shifts. The AF-QM/MM approach models solvent effects implicitly through a set of surface charges computed using the Poisson-Boltzmann equation, and it can also be combined with an explicit solvent model through the placement of water molecules in the first solvation shell around the solute; the latter substantially improves the accuracy of chemical shift prediction of protons involved in hydrogen bonding with solvent. We also compare the performance of AF-QM/MM on proteins and nucleic acids with two leading empirical chemical shift prediction programs SHIFTS and SHIFTX2. Although the empirical programs outperform AF-QM/MM in predicting chemical shifts, the differences are in some cases small, and the latter can be applied to chemical shifts on biomolecules which are outside the training set employed by the empirical programs, such as structures containing ligands, metal centers, and non-standard residues. The AF-QM/MM described here is implemented in version 5 of the SHIFTS software, and is fully automated, so that only a structure in PDB format is required as input.

Indexed as

Nuclear Magnetic Resonance, BiomolecularQuantum TheoryDNAModels, MolecularMolecular StructureNucleic AcidsNucleotidesProteinsSolventsDNANucleic AcidsNucleotidesProteinsSolventsAF-QM/MM NMRChemical shift predictionDensity functional theoryFragment

Identifiers

PMID26232926
PMCPMC6556433

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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.