Evidence map›Paper›PMID 23728592›Full record

ArticleJournal of biomolecular NMR2013

Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks.

Yang Shen, Ad Bax

Abstract read
In one paragraph

Article in Journal of biomolecular NMR, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 625 papers.

0numbers the graph read from it
0cells of the map it votes in
625citing 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

625 citing papers in PubMed.

  1. Article
  2. Backbone and side chainBiomolecular NMR assignments · 2026
    Article
  3. Article
  4. Biomolecular NMR assignments · 2026
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  16. Metal Ion Binding of Vimentin Tail Domain Fragments.Chembiochem : a European journal of chemical biology · 2026
    Article
  17. Article
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  20. Article

565 more citing papers are in PubMed but not listed here.

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

2 authors.

Yang ShenLaboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Building 5, Room 126 NIH, Bethesda, MD 20892-0520, USA.
Ad Bax

Funding

Methods to accelerate protein structure determination by solution NMRZIADK029046 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI BAX, ADRIAAN · 2009 to 2025
$12.8M
Intramural NIH HHS ZIA DK029046
6 · The paper itself

Abstract

A new program, TALOS-N, is introduced for predicting protein backbone torsion angles from NMR chemical shifts. The program relies far more extensively on the use of trained artificial neural networks than its predecessor, TALOS+. Validation on an independent set of proteins indicates that backbone torsion angles can be predicted for a larger, ≥90 % fraction of the residues, with an error rate smaller than ca 3.5 %, using an acceptance criterion that is nearly two-fold tighter than that used previously, and a root mean square difference between predicted and crystallographically observed (ϕ, ψ) torsion angles of ca 12º. TALOS-N also reports sidechain χ(1) rotameric states for about 50 % of the residues, and a consistency with reference structures of 89 %. The program includes a neural network trained to identify secondary structure from residue sequence and chemical shifts.

Indexed as

Neural Networks, ComputerNuclear Magnetic Resonance, BiomolecularAlgorithmsModels, MolecularProtein ConformationProteinsReproducibility of ResultsSoftwareProteins

Identifiers

PMID23728592
PMCPMC3701756

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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.