Article

Interpretable Deep Learning for De Novo Design of Cell-Penetrating Abiotic Polymers

2020-04-13

Abstract excerpt

There are more amino acid permutations within a 40-residue sequence than atoms on Earth. This vast chemical search space hinders the use of human learning to design functional polymers. Here we couple supervised and unsupervised deep learning with high-throughput experimentation to drive the design of high-activity, novel sequences reaching 10 kDa that deliver antisense oligonucleotides to the nucleus of cells. Th...

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Identifiers and source

Literature Corpus work: 997ba972-6fca-518f-b167-d1346050a015
DOI: 10.1101/2020.04.10.036566

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