Interpretable Supervised Learning and Graph-Based Optimization for Glycan-Lectin Binding
Non-linear biological macromolecules, such as glycans, participate in a wide range of key structural, metabolic, and regulatory functions in all living organisms. Many of these essential roles involve interactions with glycan-binding proteins called lectins. As a result, there is particular interest...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/153781 |