Synthetic BiologybioRxivPreprint
From Context to Code: Rational De Novo DNA Design and Predicting Cross-Species DNA Functionality Using Deep Learning Transformer Models
Gurvinder Singh Dahiya, Thea Isabel Bakken, Maxime Fages‐Lartaud, Rahmi RL Lale
This paper introduces a DNA design platform using Transformer models to predict cross-species DNA functionality, enabling context-sensitive and host-specific gene expression optimization.