Benchmarking Large Language Models for Predicting Therapeutic Antisense Oligonucleotide Efficacy
Abhinit Sundar, Zhi Stephen Wei, Griesmer
This study benchmarks large language models to predict antisense oligonucleotide efficacy using DNA sequences and target gene information, finding that GPT-3.5-Turbo performs best with few-shot prompting.
bioRxiv · Feb 19, 2026 · PreprintBioinformatics