Enzyme sequence optimisation via Gromov-Wasserstein Autoencoders integrating MSA techniques
Enzyme sequence design has always been a challenging task, particularly in optimising key properties such as enzyme solubility, stability, and activity. This study proposes an innovative approach by utilising a variational autoencoder (VAE) model integrated with the Gromov-Wasserstein (GW) distance...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Journal of Enzyme Inhibition and Medicinal Chemistry |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/14756366.2025.2524742 |
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