# siRNA activity prediction

Deep Genomics' DeepRNAi combines the local siRNA hybridization site with long-range context from the genomic region around the transcript, supplied by biological foundation models BigRNA, Enigma and REPRESS over up to one million base pairs of sequence. On seed-mediated knockdown prediction, DeepRNAi without the foundation models performs in aggregate about as well as a random forest with hand-built transcript features; with the foundation models, performance nearly doubles. In two drug-discovery cases the model predicted near-zero activity for siRNAs targeting the distal 3' UTR, matching Alnylam's published PLG experimental data.

Deep Genomics' DeepRNAi combines the local siRNA hybridization site with long-range context from the genomic region around the transcript, supplied by biological foundation models BigRNA, Enigma and REPRESS over up to one million base pairs of sequence. On seed-mediated knockdown prediction, DeepRNAi without the foundation models performs in aggregate about as well as a random forest with hand-built transcript features; with the foundation models, performance nearly doubles. In two drug-discovery cases the model predicted near-zero activity for siRNAs targeting the distal 3' UTR, matching Alnylam's published PLG experimental data.