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| Rudden LSP, Hijazi M, Barth P. (2022) Deep learning approaches for conformational flexibility and switching properties in protein design. Frontiers in Molecular Biosciences. 9: 928534 |
| Yin J, Chen KM, Clark MJ, et al. (2020) Structure of a D2 dopamine receptor-G-protein complex in a lipid membrane. Nature |
| Leman JK, Weitzner BD, Lewis SM, et al. (2020) Macromolecular modeling and design in Rosetta: recent methods and frameworks. Nature Methods |
| Chen KM, Keri D, Barth P. (2020) Computational design of G Protein-Coupled Receptor allosteric signal transductions. Nature Chemical Biology. 16: 77-86 |
| Keri D, Barth P. (2018) Reprogramming G protein coupled receptor structure and function. Current Opinion in Structural Biology. 51: 187-194 |
| Young M, Dahoun T, Sokrat B, et al. (2018) Computational design of orthogonal membrane receptor-effector switches for rewiring signaling pathways. Proceedings of the National Academy of Sciences of the United States of America |
| Lai JK, Ambia J, Wang Y, et al. (2017) Enhancing Structure Prediction and Design of Soluble and Membrane Proteins with Explicit Solvent-Protein Interactions. Structure (London, England : 1993) |
| Arber C, Young M, Barth P. (2017) Reprogramming cellular functions with engineered membrane proteins. Current Opinion in Biotechnology. 47: 92-101 |
| Feng X, Ambia J, Chen KM, et al. (2017) Computational design of ligand-binding membrane receptors with high selectivity. Nature Chemical Biology |
| Barth P, Senes A. (2016) Toward high-resolution computational design of the structure and function of helical membrane proteins. Nature Structural & Molecular Biology. 23: 475-80 |