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ML helps predict enzyme turnover rates

Nature Catalysis volume 5, pages 655–657 (2022)Cite this article

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Constraining metabolic models by enzyme capacities greatly improves genotype–phenotype predictions. Now, a method for estimating enzyme turnovers based on deep learning has been developed and used to reconstruct enzyme-constrained genome-scale metabolic models for more than 300 yeast species.

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Fig. 1: Machine learning aided enzyme constraint-based genome-scale modelling framework.

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Authors and Affiliations

  1. Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA

    Veda Sheersh Boorla, Vikas Upadhyay & Costas D. Maranas

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  1. Veda Sheersh Boorla
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  2. Vikas Upadhyay
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  3. Costas D. Maranas
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Correspondence to Costas D. Maranas.

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The authors declare no competing interests.

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Boorla, V.S., Upadhyay, V. & Maranas, C.D. ML helps predict enzyme turnover rates. Nat Catal 5, 655–657 (2022). https://doi.org/10.1038/s41929-022-00827-x

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