Evidence map›Paper›PMID 38195744›Full record

ArticleBioinformatics (Oxford, England)2024

FLAMS: Find Lysine Acylations and other Modification Sites.

Hannelore Longin, Nand Broeckaert, Maarten Langen, Roshan Hari, Anna Kramarska, Kasper Oikarinen, Hanne Hendrix, Rob Lavigne, Vera van Noort

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Hannelore LonginKU Leuven, Department of Microbial and Molecular Systems, Computational Systems Biology, Leuven 3001, Belgium.ORCID 0000-0001-8524-5768
Nand BroeckaertKU Leuven, Department of Microbial and Molecular Systems, Computational Systems Biology, Leuven 3001, Belgium.
Maarten LangenKU Leuven, Department of Microbial and Molecular Systems, Computational Systems Biology, Leuven 3001, Belgium.
Roshan HariKU Leuven, Department of Microbial and Molecular Systems, Computational Systems Biology, Leuven 3001, Belgium.
Anna KramarskaKU Leuven, Department of Microbial and Molecular Systems, Computational Systems Biology, Leuven 3001, Belgium.
Kasper OikarinenKU Leuven, Department of Microbial and Molecular Systems, Computational Systems Biology, Leuven 3001, Belgium.
Hanne HendrixKU Leuven, Department of Biosystems, Laboratory of Gene Technology, Leuven 3001, Belgium.
Rob LavigneKU Leuven, Department of Biosystems, Laboratory of Gene Technology, Leuven 3001, Belgium.ORCID 0000-0001-7377-1314
Vera van NoortKU Leuven, Department of Microbial and Molecular Systems, Computational Systems Biology, Leuven 3001, Belgium.ORCID 0000-0002-8436-6602

Funding

KU Leuven project C1 'ACES'
6 · The paper itself

Abstract

summaryToday, hundreds of post-translational modification (PTM) sites are routinely identified at once, but the comparison of new experimental datasets to already existing ones is hampered by the current inability to search most PTM databases at the protein residue level. We present FLAMS (Find Lysine Acylations and other Modification Sites), a Python3-based command line and web-tool that enables researchers to compare their PTM sites to the contents of the CPLM, the largest dedicated protein lysine modification database, and dbPTM, the most comprehensive general PTM database, at the residue level. FLAMS can be integrated into PTM analysis pipelines, allowing researchers to quickly assess the novelty and conservation of PTM sites across species in newly generated datasets, aiding in the functional assessment of sites and the prioritization of sites for further experimental characterization. AVAILABILITY AND IMPLEMENTATION: FLAMS is implemented in Python3, and freely available under an MIT license. It can be found as a command line tool at https://github.com/hannelorelongin/FLAMS, pip and conda; and as a web service at https://www.biw.kuleuven.be/m2s/cmpg/research/CSB/tools/flams/.

Indexed as

LysineProtein Processing, Post-TranslationalAcylationDatabases, ProteinLysine

Identifiers

PMID38195744
PMCPMC10783949

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.