Evidence map›Paper›PMID 42535890›Full record

ArticleDatabase : the journal of biological databases and curation2026

The Asparaginase Database: a comprehensive resource and classification of l-asparaginases.

Max Štětina, Aleš Křenek, Guglielmo Tedeschi, Filip Krása, Vojtěch Spiwok, Eva Benešová

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

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

6 authors.

Max ŠtětinaDepartment of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Technická 3, Prague 6, 166 28, Czech Republic.ORCID 0009-0005-2123-1558
Aleš KřenekInstitute of Computer Science, Masaryk University, Šumavská 416/15, Brno, 602 00, Czech Republic.ORCID 0000-0002-3395-3196
Guglielmo TedeschiDepartment of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Technická 3, Prague 6, 166 28, Czech Republic.ORCID 0009-0000-9404-970X
Filip KrásaInstitute of Computer Science, Masaryk University, Šumavská 416/15, Brno, 602 00, Czech Republic.ORCID 0009-0004-5443-9585
Vojtěch SpiwokDepartment of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Technická 3, Prague 6, 166 28, Czech Republic.ORCID 0000-0001-8108-2033
Eva BenešováDepartment of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Technická 3, Prague 6, 166 28, Czech Republic.ORCID 0000-0002-3696-3517

Funding

Ministry of Education, Youth and Sports LM2023055
6 · The paper itself

Abstract

l-Asparaginases have been essential anticancer biopharmaceuticals for nearly half a century, particularly in the treatment of acute lymphoblastic leukaemia. Despite their success, current preparations face challenges, such as strong immunogenicity, reduced stability, and secondary l-glutaminase activity. Systematic discovery and engineering of l-asparaginases with desirable properties are hindered by the limitations of existing l-asparaginase classifications being unable to keep pace with rapid sequence discovery or not reflecting the growing diversity of l-asparaginase characteristics. We present The Asparaginase Database, a resource for curated l-asparaginase sequences, conserved motifs, structures, and experimental data organised by a sequence similarity driven classification into 40 phylogenetic families and 14 clans within previously established l-asparaginase classes. This framework provides a new model for the classification of l-asparaginases based on large-scale molecular phylogeny and could enable researchers to navigate l-asparaginase diversity and identify promising candidates for therapeutic development. Database URL:  https://asparaginasedb.com/.

Indexed as

AsparaginaseDatabases, ProteinAmino Acid SequenceBiocurationHumansPhylogenyAsparaginase

Identifiers

PMID42535890
PMCPMC13425635

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Registered trials

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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.