Evidence map›Paper›PMID 38229296›Full record

ArticleApplied microbiology and biotechnology2024

Discovery and biocatalytic characterization of opine dehydrogenases by metagenome mining.

András Telek, Zsófia Molnár, Kristóf Takács, Bálint Varga, Vince Grolmusz, Gábor Tasnádi, Beáta G Vértessy

Open access · goldAbstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2024. 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
0.5field-weighted citation impact, top 39% 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, 2 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

7 authors at 3 institutions in 1 country.

András TelekDepartment of Applied Biotechnology, Budapest University of Technology and Economics, Budapest, Hungary.ORCID http://orcid.org/0000-0002-1909-8410
Zsófia MolnárInstitute of Molecular Life Sciences, Research Centre for Natural Sciences, HUN-REN, Budapest, Hungary.ORCID http://orcid.org/0000-0002-9552-7061
Kristóf TakácsPIT Bioinformatics Group, Institute of Mathematics, Eötvös University, Budapest, Hungary.
Bálint VargaPIT Bioinformatics Group, Institute of Mathematics, Eötvös University, Budapest, Hungary.
Vince GrolmuszPIT Bioinformatics Group, Institute of Mathematics, Eötvös University, Budapest, Hungary.ORCID http://orcid.org/0000-0001-9456-8876
Gábor TasnádiServier Research Institute of Medicinal Chemistry, Budapest, Hungary. gabor.tasnadi@servier.com.ORCID http://orcid.org/0000-0002-4877-1889
Beáta G VértessyDepartment of Applied Biotechnology, Budapest University of Technology and Economics, Budapest, Hungary. vertessy.beata@ttk.hu.ORCID http://orcid.org/0000-0002-1288-2982
Budapest University of Technology and Economics · HUEötvös Loránd University · HUHungarian Institute for Educational Research and Development · HU

Funding

National Research, Development and Innovation Office K119493National Research, Development and Innovation Office K135231National Research, Development and Innovation Office NKP-2018-1.2.1-NKP-2018-00005National Research, Development and Innovation Office RRF-2.3.1-21-2022-000 15National Research, Development and Innovation Office TKP2021-EGA-02National Research, Development and Innovation Office ÚNKP-22-4-II-BME-158National Research, Development and Innovation Office VEKOP-2.3.2-16-2017-00013Nemzeti Kutatási, Fejlesztési és Innovaciós Alap 2022-1.2.2-TÉT-IPARI-UZ-2022-00003Nemzeti Kutatási, Fejlesztési és Innovaciós Alap C1580174Nemzeti Kutatási, Fejlesztési és Innovaciós Alap ELTE TKP 2021-NKTA-62
6 · The paper itself

Abstract

Enzymatic processes play an increasing role in synthetic organic chemistry which requires the access to a broad and diverse set of enzymes. Metagenome mining is a valuable and efficient way to discover novel enzymes with unique properties for biotechnological applications. Here, we report the discovery and biocatalytic characterization of six novel metagenomic opine dehydrogenases from a hot spring environment (mODHs) (EC 1.5.1.X). These enzymes catalyze the asymmetric reductive amination between an amino acid and a keto acid resulting in opines which have defined biochemical roles and represent promising building blocks for pharmaceutical applications. The newly identified enzymes exhibit unique substrate specificity and higher thermostability compared to known examples. The feature that they preferably utilize negatively charged polar amino acids is so far unprecedented for opine dehydrogenases. We have identified two spatially correlated positions in their active sites that govern this substrate specificity and demonstrated a switch of substrate preference by site-directed mutagenesis. While they still suffer from a relatively narrow substrate scope, their enhanced thermostability and the orthogonality of their substrate preference make them a valuable addition to the toolbox of enzymes for reductive aminations. Importantly, enzymatic reductive aminations with highly polar amines are very rare in the literature. Thus, the preparative-scale enzymatic production, purification, and characterization of three highly functionalized chiral secondary amines lend a special significance to our work in filling this gap. KEY POINTS: • Six new opine dehydrogenases have been discovered from a hot spring metagenome • The newly identified enzymes display a unique substrate scope • Substrate specificity is governed by two correlated active-site residues.

Indexed as

AminesMetagenomeAminationAmino AcidsBiocatalysisOxidoreductasesSubstrate SpecificityAminesAmino AcidsOxidoreductasesBiocatalysisMetagenome miningOpine dehydrogenasesReductive amination

Identifiers

PMID38229296
PMCPMC10787698
OpenAlexW4390839603

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.