Hybrid sequence-structure models combine protein language models with inverse folding models to draw from both massive sequence databases and highly detailed structural data.
Methods
1.
Heinzinger M, Weissenow K, Sanchez JG, Henkel A, Mirdita M, Steinegger M, et al. Bilingual language model for protein sequence and structure. NAR Genomics and Bioinformatics. 2024;6(4). Available from: https://doi.org/10.1093/nargab/lqae150
2.
Ren M, Yu C, Bu D, Zhang H. Accurate and robust protein sequence design with CarbonDesign. Nature Machine Intelligence. 2024;6(5):536–47. Available from: https://doi.org/10.1038/s42256-024-00838-2