Evidence map›Paper›PMID 36694899›Full record

ArticleActa naturae

Bioinformatics-Structural Approach to the Search for New D-Amino Acid Oxidases.

D L Atroshenko, D I Golovina, E P Sergeev, M D Shelomov, A G Elcheninov, I V Kublanov, T A Chubar, A A Pometun, S S Savin, V I Tishkov

Open access · hybridAbstract read
In one paragraph

Article in Acta naturae. 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
0.9field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

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

10 authors at 2 institutions in 2 countries.

D L AtroshenkoDepartment of Chemistry, Lomonosov Moscow State University, Moscow, 119991 Russia.
D I GolovinaDepartment of Chemistry, Lomonosov Moscow State University, Moscow, 119991 Russia.
E P SergeevDepartment of Chemistry, Lomonosov Moscow State University, Moscow, 119991 Russia.
M D ShelomovDepartment of Chemistry, Lomonosov Moscow State University, Moscow, 119991 Russia.
A G ElcheninovFederal Research Centre "Fundamentals of Biotechnology" of RAS, Moscow, 119071 Russia.
I V KublanovDepartment of Chemistry, Lomonosov Moscow State University, Moscow, 119991 Russia.
T A ChubarDepartment of Chemistry, Lomonosov Moscow State University, Moscow, 119991 Russia.
A A PometunDepartment of Chemistry, Lomonosov Moscow State University, Moscow, 119991 Russia.
S S SavinDepartment of Chemistry, Lomonosov Moscow State University, Moscow, 119991 Russia.
V I TishkovDepartment of Chemistry, Lomonosov Moscow State University, Moscow, 119991 Russia.
Lomonosov Moscow State University · RUFederal Research Centre «Fundamentals of Biotechnology» of the Russian Academy of Sciences · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

D-amino acid oxidase (DAAO, EC 1.2.1.2) plays an important role in the functioning of prokaryotes as well as of lower (yeast and fungi) and higher eukaryotes (mammals). DAAO genes have not yet been found in archaean genomes. D-amino acid oxidase is increasingly used in various fields, which requires the development of new variants of the enzyme with specific properties. However, even within one related group (bacteria, yeasts and fungi, mammals), DAAOs show very low homology between amino acid sequences. In particular, this fact is clearly observed in the case of DAAO from bacteria. The high variability in the primary structures of DAAO severely limits the search for new enzymes in known genomes. As a result, many (if not most) DAAO genes remain either unannotated or incorrectly annotated. We propose an approach that uses bioinformatic methods in combination with general 3D structure and active center structure analysis to confirm that the gene found encodes D-amino acid oxidase and to predict the possible type of its substrate specificity. Using a homology search, we obtained a set of candidate sequences, modelled the tertiary structure of the selected enzymes, and compared them with experimental and model structures of known DAAOs. The effectiveness of the proposed approach for discrimination of DAAOs and glycine oxidases is shown. Using this approach, new DAAO genes were found in the genomes of six strains of extremophilic bacteria, and for the first time in the world, one gene was identified in the genome of halophilic archaea. Preliminary experiments confirmed the predicted specificity of DAAO from Natronosporangium hydrolyticum ACPA39 with D-Leu and D-Phe.

Indexed as

AlphaFold 2D-amino acid oxidaseglycine oxidasesmodellingprimary structureternary structure

Identifiers

PMID36694899
PMCPMC9844085
OpenAlexW4317597639

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