Evidence map›Paper›PMID 25616435›Full record

ArticleHuman genetics2015

Types and effects of protein variations.

Mauno Vihinen

Abstract read
PubMed Publisher
In one paragraph

Article in Human genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  16. Homology modeling and global computational mutagenesis of human myosin VIIa.Journal of analytical & pharmaceutical research · 2021
    Article
  17. Article
  18. Review
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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

1 author.

Mauno VihinenDepartment of Experimental Medical Science, Lund University, BMC D10, SE-22184, Lund, Sweden, mauno.vihinen@med.lu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variations in proteins have very large number of diverse effects affecting sequence, structure, stability, interactions, activity, abundance and other properties. Although protein-coding exons cover just over 1 % of the human genome they harbor an disproportionately large portion of disease-causing variants. Variation ontology (VariO) has been developed for annotation and description of variation effects, mechanisms and consequences. A holistic view for variations in proteins is made available along with examples of real cases. Protein variants can be of genetic origin or emerge at protein level. Systematic names are provided for all variation types, a more detailed description can be made by explaining changes to protein function, structure and properties. Examples are provided for the effects and mechanisms, usually in relation to human diseases. In addition, the examples are selected so that protein 3D structural changes, when relevant, are included and visualized. Here, systematics is described for protein variants based on VariO. It will benefit the unequivocal description of variations and their effects and further reuse and integration of data from different sources.

Indexed as

Gene OntologyGenetic VariationProteinsAmino Acid SequenceAnimalsDatabases, ProteinHumansModels, MolecularMolecular Dynamics SimulationProtein FoldingProtein Processing, Post-TranslationalProtein Structure, QuaternaryProtein Structure, SecondaryStructure-Activity RelationshipProteins

Identifiers

What OpenQuestion holds

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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.