Harnessing the potential of artificial neural networks for predicting protein glycosylation
Kinetic models offer incomparable insight on cellular mechanisms controlling protein glycosylation. However, their ability to reproduce site-specific glycoform distributions depends on accurate estimation of a large number of protein-specific kinetic parameters and prior knowledge of enzyme and tran...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-06-01
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| Series: | Metabolic Engineering Communications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214030120300067 |