Evidence map›Paper›PMID 31134683›Full record

ArticleProteins2019

Sequence-specific dynamic information in proteins.

H A Scheraga, S Rackovsky

Abstract read
In one paragraph

Article in Proteins, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. The Spatial Distribution of Local Mobility in Folded Proteins.The journal of physical chemistry. B · 2026
    Article
  2. Techniques for Bioinformatic Applications in Protein Dynamics.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. The structure of protein dynamic space.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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

2 authors.

H A ScheragaDepartment of Chemistry and Chemical Biology, Baker Laboratory, Cornell University, Ithaca, New York.
S RackovskyDepartment of Chemistry and Chemical Biology, Baker Laboratory, Cornell University, Ithaca, New York.ORCID 0000-0002-6186-7893

Funding

INTERNAL BONDIN IN PROTEINSR01GM014312 · NIGMS · CORNELL UNIVERSITY ITHACA · PI MAISURADZE, GIA, RACKOVSKY, SHALOM R · 1985 to 2021
$9.4M
NIGMS NIH HHS GM 14132NIGMS NIH HHS R01 GM014312
6 · The paper itself

Abstract

We examine the local and global properties of the average B-factor, 〈B〉, as a residue-specific indicator of protein dynamic characteristics. It has been shown that values of 〈B〉 for the 20 amino acids differ in a statistically significant manner, and that, while strongly determined by the static physical properties of amino acids, they also encode averaged information about the influence of global fold on single-residue dynamics. Therefore, complete sequences of amino acids also encode fold-related global dynamic information, in addition to the local information that arises from static physical properties. We show that the relative magnitudes of these two contributions can be determined using Fourier methods, which represent the global properties of the sequences. It has also been shown that the behavior of Fourier components of 〈B〉 differs, with very high statistical significance, between structural groups, and that this information is not available from a comparable analysis of static amino acid properties.

Indexed as

AlgorithmsAmino AcidsComputational BiologyHumansProtein ConformationProtein DomainsProtein FoldingProteinsSequence Analysis, ProteinAmino AcidsProteinsB-factorsdynamic bioinformaticslong-range interactionsprotein dynamics

Identifiers

PMID31134683
PMCPMC6718326

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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.