Evidence map›Paper›PMID 31539018›Full record

ArticleBioinformatics (Oxford, England)2020

XMAn v2-a database of Homo sapiens mutated peptides.

Marcela Aguilera Flores, Iulia M Lazar

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

2 authors.

Marcela Aguilera FloresGenomics, Bioinformatics and Computational Biology, USA.
Iulia M LazarDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA.

Funding

Microfluidic Chip for the Analysis of Cell-Surface ProteinsR01GM121920 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LAZAR, MARIA IULIANA · 2017 to 2021
$1.9M
NIGMS NIH HHS R01 GM121920
6 · The paper itself

Abstract

summaryThe 'Unknown Mutation Analysis (XMAn)' database is a compilation of Homo sapiens mutated peptides in FASTA format, that was constructed for facilitating the identification of protein sequence alterations by tandem mass spectrometry detection. The database comprises 2 539 031 non-redundant mutated entries from 17 599 proteins, of which 2 377 103 are missense and 161 928 are nonsense mutations. It can be used in conjunction with search engines that seek the identification of peptide amino acid sequences by matching experimental tandem mass spectrometry data to theoretical sequences from a database. AVAILABILITY AND IMPLEMENTATION: XMAn v2 can be accessed from github.com/lazarlab/XMAnv2. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

PeptidesProteinsAmino Acid SequenceDatabases, FactualDatabases, ProteinHumansTandem Mass SpectrometryPeptidesProteins

Identifiers

PMID31539018
PMCPMC8215914

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.