Design of Nuclear-Targeting Peptides for Macromolecule Delivery via Machine Learning
The effective design of functional peptide sequences remains a fundamental challenge in biomedicine. For example, cell-penetrating peptides (CPPs) are capable of delivering macromolecular cargo to intracellular targets that are otherwise inaccessible. However, design of novel CPPs with high activity...
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/143244 https://orcid.org/ 0000-0003-0773-5168 |