Sina Barazandeh

The paper introduces RNAGEN, a GAN-based model to generate synthetic RNA sequences that bind to target proteins, validated with in vitro experiments for SOX2.

RNAtranslator generates RNA sequences that bind to specific proteins by treating RNA design as a sequence-to-sequence translation task, producing novel and high-affinity sequences.

UTRGAN generates 5' UTR sequences optimized for higher translation efficiency and gene expression, outperforming existing UTRs in multiple metrics.