Evidence map›Paper›PMID 41656389›Full record

ArticleScientific reports2026

Computational optimization of DEK1 calpain domain solubility through integrated structural modelling and data-driven targeted mutagenesis.

Mohammad Dabiri, Zdenko Levarski, Eva Struhárňanská, Viktor Demko, Vladimir Beneš, Jan Turňa, Stanislav Stuchlík

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Article in Scientific reports, 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mohammad DabiriDepartment of Molecular Biology, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, 842 15, Slovak Republic. dabiri2@uniba.sk.
Zdenko LevarskiDepartment of Molecular Biology, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, 842 15, Slovak Republic. zdenko.levarski@uniba.sk.
Eva StruhárňanskáDepartment of Molecular Biology, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, 842 15, Slovak Republic.
Viktor DemkoDepartment of Plant Physiology, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, 842 15, Slovak Republic.
Vladimir BenešGenomics Core Facility, EMBL Heidelberg, 69117, Heidelberg, Germany.
Jan TurňaDepartment of Molecular Biology, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, 842 15, Slovak Republic.
Stanislav StuchlíkDepartment of Molecular Biology, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, 842 15, Slovak Republic.

Funding

Fostering Excellence in Advanced Genomics and Proteomics Research at Comenius University in Bratislava FORGENOM II, APVV-21-0227, APVV-21-0215, APVV-22-0161 , 101160008Univerzita Komenského v Bratislave CU Grant 2025 UK/1088/2025
6 · The paper itself

Abstract

The DEFECTIVE KERNEL 1 (DEK1) protein plays essential functions throughout plant development. DEK1 is a multidomain 240 kDa protein with yet unsolved 3D structure. To facilitate structural and functional studies of DEK1, here we investigate its calpain protease core domain (CysPc) from Physcomitrium patens. Using integrated structural modelling we propose targeted mutagenesis of CysPc to enhance its solubility during recombinant protein production. We created a pipeline to predict the topology of the CysPc domain with improved precision, providing a robust framework for further exploration. We evaluated the native and mutant structures by MD simulations, concentrating on several solubility-related parameters. Following these features, we implemented specific single, double, and triple amino acid mutagenesis to select variants with improved solubility. Our method preserves overall structural integrity while reducing aggregation-prone traits. We advocate for the utilization of optimized data driven method that can effectively traverse the extensive combinatorial space and prioritize mutation sets with the greatest potential for enhancing solubility. This framework provides a logical, data-driven approach to improving protein solubility, particularly beneficial in situations lacking high-resolution structural data.

Indexed as

BryopsidaCalpainMutagenesisPlant ProteinsModels, MolecularMolecular Dynamics SimulationMutationProtein DomainsSolubilityCalpainPlant ProteinsCalpainMolecular dynamicsMutagenesisProtein solubilityStructure prediction

Identifiers

PMID41656389
PMCPMC12948991

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