Max Štětina, Aleš Křenek, Guglielmo Tedeschi, Filip Krása, Vojtěch Spiwok, Eva Benešová
Journal: Database : the journal of biological databases and curation 2026;2026():
PMID: 42535890
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/.
© The Author(s) 2026. Published by Oxford University Press.
© Copyright 2026, Nutrition Evidence
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