Evidence map›Paper›PMID 19205909›Full record

ArticleJournal of clinical monitoring and computing2009

Determination of mutation patterns in human ornithine transcarbamylase precursor.

Shaomin Yan, Guang Wu

Abstract read
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In one paragraph

Article in Journal of clinical monitoring and computing, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shaomin YanGuangxi Academy of Sciences, 98 Daling Road, Nanning, Guangxi Province, 530007, China.
Guang Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe ornithine transcarbamylase is a mitochondrial matrix homotrimeric enzyme, whose deficiency is the most common genetic defect of the urea cycle and an X-linked semidominant disorder. To understand its mutation pattern is very helpful for managing its clinical manifest and outcome.

methodsThe amino-acid pair predictability is used to transfer the symbolized human ornithine transcarbamylase and its 117 missense point mutants to scalar data and classify the amino-acid pairs as predictable and unpredictable in order that we can analyse the mutation pattern in scalar data domain rather than symbol domain.

resultsThe results show that the mutation is highly likely to occur at the unpredictable amino-acid pairs, and the mutation has the trend to make an amino-acid pair approach predictable.

conclusionThe results provide insight on mutation from the viewpoint based on random mechanism.

Indexed as

AlgorithmsAmino Acid SequenceBase SequenceDNA Mutational AnalysisMolecular Sequence DataOrnithine CarbamoyltransferasePattern Recognition, AutomatedSequence Analysis, DNASequence Analysis, ProteinOrnithine Carbamoyltransferase

Identifiers

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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.