Evidence map›Paper›PMID 16041485›Full record

ArticleJournal of biomolecular NMR2005

Protein energetic conformational analysis from NMR chemical shifts (PECAN) and its use in determining secondary structural elements.

Hamid R Eghbalnia, Liya Wang, Arash Bahrami, Amir Assadi, John L Markley

Abstract read
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Article in Journal of biomolecular NMR, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed.

  1. Article
  2. Modernizing biomolecular NMR: The POKY suite.The Journal of biological chemistry · 2026
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  3. Biomolecular NMR assignments · 2023
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  10. Mapping temperature-dependent conformational change in the voltage-sensing domain of an engineered heat-activated KProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Function and solution structure of the Arabidopsis thaliana RALF8 peptide.Protein science : a publication of the Protein Society · 2019
    Article
  18. Article
  19. Article
  20. Article

7 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

5 authors.

Hamid R EghbalniaBiochemistry Department, National Magnetic Resonance Facility at Madison, 433 Babcock Drive, Madison, WI 53706, USA. eghbalni@nmrfam.wise.edu
Liya Wang
Arash Bahrami
Amir Assadi
John L Markley

Funding

Center for Eukaryotic Structural GenomicsP50GM064598 · NIGMS · UNIVERSITY OF WISCONSIN MADISON · PI MARKLEY, JOHN L · 2001 to 2004
$23.7M
WATER DISTRIB:PHYSICAL PROPERT:PIZZA &LMPS MOZZARELLA CHEESES:EARLY STAGE MATURP41RR002301 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI MARKLEY, JOHN LUTE · 1985 to 2011
$13.0M
NCRR NIH HHS P41 RR02301NIGMS NIH HHS 1P50 GM64598NLM NIH HHS 5T15LM005359
6 · The paper itself

Abstract

We present an energy model that combines information from the amino acid sequence of a protein and available NMR chemical shifts for the purposes of identifying low energy conformations and determining elements of secondary structure. The model ("PECAN", Protein Energetic Conformational Analysis from NMR chemical shifts) optimizes a combination of sequence information and residue-specific statistical energy function to yield energetic descriptions most favorable to predicting secondary structure. Compared to prior methods for secondary structure determination, PECAN provides increased accuracy and range, particularly in regions of extended structure. Moreover, PECAN uses the energetics to identify residues located at the boundaries between regions of predicted secondary structure that may not fit the stringent secondary structure class definitions. The energy model offers insights into the local energetic patterns that underlie conformational preferences. For example, it shows that the information content for defining secondary structure is localized about a residue and reaches a maximum when two residues on either side are considered. The current release of the PECAN software determines the well-defined regions of secondary structure in novel proteins with assigned chemical shifts with an overall accuracy of 90%, which is close to the practical limit of achievable accuracy in classifying the states.

Indexed as

Models, TheoreticalNuclear Magnetic Resonance, BiomolecularProtein Structure, SecondaryAlgorithmsAmino Acid SequenceDatabases, ProteinMathematicsProteinsSoftwareThermodynamicsProteins

Identifiers

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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.