Evidence map›Paper›PMID 17710364›Full record

ArticleAmino acids2008

Estimating residue evolutionary conservation by introducing von Neumann entropy and a novel gap-treating approach.

S-W Zhang, Y-L Zhang, Q Pan, Y-M Cheng, K-C Chou

Registry-linked trialAbstract read
In one paragraph

Article in Amino acids, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06932601 (The Validity of a Novel Diabetes Diagnostic Device and Its Feasibility as Metabolic Syndrome Diagnostic One. [TREARS STUDIES II]), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT06932601 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

The Validity of a Novel Diabetes Diagnostic Device and Its Feasibility as Metabolic Syndrome Diagnostic One. [TREARS STUDIES II]

TypeobservationalSponsorTrearsRan2025 to 2027Enrolled258ConditionsMetabolic Syndrome, Diabetes, Hypertension, Obesity and Obesity-related Medical Conditions
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

5 authors.

S-W ZhangCollege of Automation, Northwestern Polytechnical University, Xi'an, China. zhangsw@nwpu.edu.cn
Y-L Zhang
Q Pan
Y-M Cheng
K-C Chou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary conservation derived from a multiple sequence alignment is a powerful indicator of the functional significance of a residue, and it can help to predict active sites, ligand-binding sites, and protein interaction interfaces. The results of the existing algorithms in identifying the residue's conservation strongly depend on the sequence alignment, making the results highly variable. Here, by introducing the amino acid similarity matrix, we propose a novel gap-treating approach by combining the evolutionary information and von Neumann entropies to compute the residue conservation scores. It is indicated through a series of tested results that the new approach is quite encouraging and promising and may become a useful tool in complementing the existing methods.

Indexed as

Conserved SequenceEntropyEvolution, MolecularAlgorithmsAmino AcidsBinding SitesComputational BiologyComputer SimulationDatabases, ProteinLigandsPredictive Value of TestsProteinsSensitivity and SpecificitySequence AlignmentSequence Analysis, ProteinAmino AcidsLigandsProteins

Identifiers

PMID17710364
PMCPMC7088136

What OpenQuestion holds

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Registered trials

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.