# mRNA delivery

DeepDelivery treats the human proteome as a candidate pool for mRNA delivery scaffolds: deep learning models trained on viral capsid proteins, filtered by a dual-model screen, nominated 512 candidates from 109,375 human sequences. Of 15 candidates tested experimentally, 12 formed mRNA-encapsulating particles and mediated functional delivery; RTL8B reached 73.2% transduction in HEK293T reporter cells, above the reference proteins Arc (56.5%), PEG10 (53.1%) and PNMA2 (67.4%). The results support human proteins as a source of modularly engineerable delivery scaffolds, while immunogenicity and in vivo behavior remain untested.

DeepDelivery treats the human proteome as a candidate pool for mRNA delivery scaffolds: deep learning models trained on viral capsid proteins, filtered by a dual-model screen, nominated 512 candidates from 109,375 human sequences. Of 15 candidates tested experimentally, 12 formed mRNA-encapsulating particles and mediated functional delivery; RTL8B reached 73.2% transduction in HEK293T reporter cells, above the reference proteins Arc (56.5%), PEG10 (53.1%) and PNMA2 (67.4%). The results support human proteins as a source of modularly engineerable delivery scaffolds, while immunogenicity and in vivo behavior remain untested.