Evidence map›Paper›PMID 20148312›Full record

ArticleMedical & biological engineering & computing2010

Ataxin active site determination using spectral distribution of electron ion interaction potentials of amino acids.

E Pirogova, V Vojisavljevic, J L Hernández Cáceres, I Cosic

Abstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 90% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 2 countries.

E PirogovaSchool of Electrical and Computer Engineering, RMIT University, Melbourne, VIC, Australia. elena.pirogova@rmit.edu.au
V Vojisavljevic
J L Hernández Cáceres
I Cosic
RMIT University · AUMIT University · MK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ataxia is a genetic neurological disorder characterised by a neurodegenerative process affecting a motor cortex responsible for balance and coordination. Recently several genes that cause autosomal dominant ataxia development were identified. These abnormal genes share a common ability to produce abnormal ataxin proteins that can affect nerve cells in the cerebellum and spinal cord. Here, using the Resonant Recognition Model (RRM) based on signal processing, we analysed ataxin proteins and identified the characteristic features corresponding to their biological activities. The RRM is a physico-mathematical model developed for analysis of protein interactions. By incorporating Smoothed Pseudo Wigner-Ville distribution (SPWV) in the RRM, we can define the active regions along the protein molecule. The results showed that our computational predictions correspond closely with the experimentally identified locations of the active/binding sites for ataxin-1 and ataxin-3 protein groups. The results obtained provide a valuable insight into the functional performance of ataxin proteins.

Indexed as

Models, ChemicalAmino Acid SequenceAtaxiaAtaxin-1Ataxin-3AtaxinsCatalytic DomainHumansNerve Tissue ProteinsNuclear ProteinsRepressor ProteinsSignal Processing, Computer-AssistedStructure-Activity RelationshipAtaxin-1Ataxin-3AtaxinsATXN1 protein, humanATXN3 protein, humanNerve Tissue ProteinsNuclear ProteinsRepressor Proteins

Identifiers

PMID20148312
OpenAlexW2037448669

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.