Evidence map›Paper›PMID 38540697›Full record

ArticleBiomolecules2024

Structural and Functional Characterization of Lipoxygenases from Diatoms by Bioinformatics and Modelling Studies.

Deborah Giordano, Simone Bonora, Ilenia D'Orsi, Domenico D'Alelio, Angelo Facchiano

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

5 authors at 2 institutions in 1 country.

Deborah GiordanoInstitute of Food Sciences, National Research Council, via Roma 64, 83100 Avellino, Italy.ORCID 0000-0002-5838-1913
Simone BonoraInstitute of Food Sciences, National Research Council, via Roma 64, 83100 Avellino, Italy.
Ilenia D'OrsiInstitute of Food Sciences, National Research Council, via Roma 64, 83100 Avellino, Italy.
Domenico D'AlelioDepartment of Integrative Marine Ecology, Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Naples, Italy.ORCID 0000-0002-2189-503X
Angelo FacchianoInstitute of Food Sciences, National Research Council, via Roma 64, 83100 Avellino, Italy.ORCID 0000-0002-7077-4912
Institute of Food Science · ITStazione Zoologica Anton Dohrn · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipoxygenases make several biological functions in cells, based on the products of the catalyzed reactions. In diatoms, microalgae ubiquitous in aquatic ecosystems, lipoxygenases have been noted for the oxygenation of fatty acids with the production of oxylipins, which are involved in many physiological and pathological processes in marine organisms. The interest in diatoms' lipoxygenases and oxylipins has increased due to their possible biotechnological applications, ranging from ecology to medicine. We investigated using bioinformatics and molecular docking tools the lipoxygenases of diatoms and the possible interaction with substrates. A large-scale analysis of sequence resources allowed us to retrieve 45 sequences of lipoxygenases from diatoms. We compared and analyzed the sequences by multiple alignments and phylogenetic trees, suggesting the possible clustering in phylogenetic groups. Then, we modelled the 3D structure of representative enzymes from the different groups and investigated in detail the structural and functional properties by docking simulations with possible substrates. The results allowed us to propose a classification of the lipoxygenases from diatoms based on their sequence features, which may be reflected in specific structural differences and possible substrate specificity.

Indexed as

DiatomsLipoxygenasesComputational BiologyEcosystemMolecular Docking SimulationOxylipinsPhylogenyLipoxygenasesOxylipinsdiatomsdocking analysislipoxygenaseprotein modellingsequence clustering

Identifiers

PMID38540697
PMCPMC10968607
OpenAlexW4392155852

What Socratic 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 Socratic graph.