2 papers
cs.LG2026
Controllable protein design with particle-based Feynman-Kac steering
Erik Hartman, Jonas Wallin, Johan Malmström +1
Proteins underpin most biological function, and the ability to design them with tailored structures and properties is central to advances in biotechnology. Diffusion-based generati…
cs.LG2026
Deep learning-guided evolutionary optimization for protein design
Erik Hartman, Di Tang, Johan Malmström
Designing novel proteins with desired characteristics remains a significant challenge due to the large sequence space and the complexity of sequence-function relationships. Efficie…