RNAtranslator: Modeling protein-conditional RNA design as sequence-to-sequence natural language translation
Fig 5
Evaluating RNAtranslator generalization to unseen proteins and robustness
(A) For PRPF8, we compare designed RNAs, natural binders, and random RNAs using molecular dynamics. RNAtranslator sequences form more hydrogen bonds and show lower (better) binding energy than random RNAs. Their free-energy landscape (FEL) also shows a deeper basin than the natural and random RNA, indicating stable binding. (B) For PRP4K, RNAtranslator sequences again show more contacts, stronger binding energy, and more hydrogen bonds than random RNAs. FEL plots confirm that the RNAtranslator complex reaches the deepest energy basin, showing stable and strong binding.