Research output per year
Research output per year
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Aino Kuusimäki
- Department of Bioproducts and Biosystems - Doctoral Researcher
- School of Chemical Engineering
- Enzyme Technology - Doctoral Researcher
Person: Doctoral students, Doctoral Student
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Christina Lyra
- Department of Bioproducts and Biosystems - Project Employee
- Enzyme Technology - Project Employee
Person: Project research staff
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Miia Mäkelä
- Department of Bioproducts and Biosystems - Professor (Associate Professor)
- Enzyme Technology - Professor (Associate Professor)
Person: Professors, tenure track
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Aldo-keto reductases, short chain dehydrogenases/reductases, and zinc-binding dehydrogenases are key players in fungal carbon metabolism
Müller, A., Mäkelä, M. R. & de Vries, R. P., 18 Jun 2025, Advances in Applied Microbiology: Volume 130: Emerging Sustainable Technologies for the Treatment of Industrial Effluent. Elsevier, p. 123-157 35 p. (Advances in Applied Microbiology; vol. 130).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review
1 Citation (Scopus) -
Exploring the complexity of xylitol production in the fungal cell factory Aspergillus niger
Müller, A., Meng, J., Kuijpers, R., Mäkelä, M. R. & de Vries, R. P., Feb 2025, In: Enzyme and Microbial Technology. 183, 6 p., 110550.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile1 Citation (Scopus)28 Downloads (Pure) -
L-Rhamnose Dehydrogenase LraA of Aspergillus niger Shows High Substrate Specificity Matching Its Expression Profile
Terebieniec, A., Xu, L., Peng, M., Mäkelä, M. R. & de Vries, R. P., Apr 2025, In: Journal of Fungi. 11, 4, 12 p., 301.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile3 Downloads (Pure)
Datasets
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Additional file 1 of Discovery of alkaline laccases from basidiomycete fungi through machine learning-based approach
Wan, X. (Creator), Shahrear, S. (Creator), Chew, S. W. (Creator), Vilaplana, F. (Creator) & Mäkelä, M. R. (Creator), Springer, 12 Sept 2024
DOI: 10.6084/m9.figshare.27000685.v1, https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Discovery_of_alkaline_laccases_from_basidiomycete_fungi_through_machine_learning-based_approach/27000685/1 and one more link, https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Discovery_of_alkaline_laccases_from_basidiomycete_fungi_through_machine_learning-based_approach/27000685 (show fewer)
Dataset
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Discovery of alkaline laccases from basidiomycete fungi through machine learning-based approach
Wan, X. (Creator), Shahrear, S. (Creator), Chew, S. W. (Creator), Vilaplana, F. (Creator) & Mäkelä, M. R. (Creator), figshare, 12 Sept 2024
DOI: 10.6084/m9.figshare.c.7444105.v1, https://springernature.figshare.com/collections/Discovery_of_alkaline_laccases_from_basidiomycete_fungi_through_machine_learning-based_approach/7444105/1
Dataset