Nicolas Manuel Goldbach

This paper computationally designs light-responsive proteins that undergo conformational changes upon light activation, enabling precise control of biological functions.

This paper introduces an AI-based framework for designing responsive protein oligomers that assemble in response to chemical or phosphorylation triggers, validated through experimental testing.

This study computationally designs soluble analogues of animal and microbial rhodopsins, showing they are well-folded, thermostable, and retain retinal photocycle functionality.

This study designs soluble analogues of integral membrane proteins using deep learning, achieving high thermal stability and functional accuracy.