Sizing up feature descriptors for macromolecular machine learning with polymeric biomaterials
Abstract It has proved challenging to represent the behavior of polymeric macromolecules as machine learning features for biomaterial interaction prediction. There are several approaches to this representation, yet no consensus for a universal representational framework, in part due to the sensitivi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-06-01
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| Series: | npj Computational Materials |
| Online Access: | https://doi.org/10.1038/s41524-023-01040-5 |