Evidence map›Paper›PMID 19343288›Full record

ReviewWiener medizinische Wochenschrift (1946)2009

Homology modelling: a review about the method on hand of the diabetic antigen GAD 65 structure prediction.

Marco Wiltgen, Gernot P Tilz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Wiener medizinische Wochenschrift (1946), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. [Diabetes mellitus].Wiener medizinische Wochenschrift (1946) · 2009
    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 at 1 institution in 1 country.

Marco WiltgenInstitute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria. marco.wiltgen@meduni-graz.at
Gernot P Tilz
Medical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This introductory paper describes the basic principles and clinical applications of the protein 3D structure prediction by homology modelling. The paper mainly addresses physicians and medical chemists. Because many proteins are of immediate clinical importance, the determination of their structures is crucial for molecular medicine. In homology modelling, a protein sequence with unknown structure is aligned with sequences of known protein structures. By exploiting structural information from the known configurations, the new structure can be predicted. The necessary condition for successful homology modelling is a sufficient similarity between the protein sequences. Because in the near future for every protein family at least one member with a known structure will be available, the importance and applicability of homology modelling is steadily increasing. We demonstrate the principles of homology modelling on hand of the Glutamic Acid Decarboxylase (GAD 65) structure prediction, which is a typical autoantigen involved in Diabetes Mellitus Type 1.

Indexed as

Computer SimulationModels, MolecularStructural Homology, ProteinAutoantigensDiabetes Mellitus, Type 1EpitopesGlutamate DecarboxylaseHumansSequence Homology, Amino AcidSoftwareAutoantigensEpitopesGlutamate Decarboxylaseglutamate decarboxylase 2

Identifiers

PMID19343288
OpenAlexW1565795740

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.