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ArticleExtremophiles : life under extreme conditions2025

Structural and functional annotation of Glaciozyma antarctica hypothetical proteins using integrated modeling pipelines.

Fatin Izzati Abdul Hadi, Doris Huai Xia Quay, Nor Muhammad Mahadi, Mohd Firdaus-Raih, Su Datt Lam

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Article in Extremophiles : life under extreme conditions, 2025. 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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5 · Who and what money

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5 authors.

Fatin Izzati Abdul HadiBioinformatics Programme, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia.ORCID http://orcid.org/0000-0003-3690-6325
Doris Huai Xia QuayBioinformatics Programme, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia.
Nor Muhammad MahadiMalaysia Genome and Vaccine Institute, Selangor, Malaysia.
Mohd Firdaus-RaihBioinformatics Programme, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia.
Su Datt LamBioinformatics Programme, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia. sudatt@ukm.edu.my.

Funding

Research University Grant GUP-2024-079
6 · The paper itself

Abstract

Glaciozyma antarctica is a psychrophilic yeast that can withstand extreme temperatures by adapting several mechanisms, such as preventing the formation of ice around the cell, maintaining the flexibility of the membrane, preventing the formation of reactive oxygen species, and producing cold-adapted enzymes. The G. antarctica genome encodes 7857 protein sequences, however, 2911 are hypothetical with no annotated functions and only five proteins have been experimentally characterised with structure coordinates in the Protein Data Bank (PDB). In this work, we modelled the of G. antarctica hypothetical proteins (HPs) using the FunMod pipeline and ColabFold, and carried out structural characterisation of the resulting models. We have successfully modelled 1517 (52%) of the hypothetical proteins with good quality structures with an average MolProbity score of 2.6. By integrating annotations from both sequence-based (InterProScan and CATH-Gene3D Functional Family), structure-based (Foldseek) methods, and removing overlapping annotated protein IDs, we predicted functions or domains to a total of 1866 (64%) unique HPs. From this annotated set, 814 proteins (44%) were predicted as probable enzymes, based on keyword parsing of their assigned functions (e.g., ‘enzyme’ or ‘-ase’). The remaining 1052 proteins (56%) were assigned non-enzymatic functions. Notably, several enzymes, including lipases and cellulases, have potential industrial applications such as detergent formulation, while increasing our understanding of adaptation mechanisms in cold temperatures. All generated data is available in the G. antarctica protein structure database as a resource of information for future research on psychrophilic organisms, especially G. antarctica.

Indexed as

BasidiomycotaFungal ProteinsModels, MolecularMolecular Sequence AnnotationFungal ProteinsColabFoldCold-adapted enzymesEnzyme predictionFunctional annotationGlaciozyma antarcticaHypothetical proteinsProtein structure databaseProtein structure modellingPsychrophileStructure-based annotation

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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.