Machine learning methods have recently been established as a powerful tool for exploring the functional space of proteins, including the design of entirely novel protein structures. The recently developed diffusion model RFdiffusion has enabled unconditional design of novel protein structures (i.e. without conditional information) as well as the design of symmetric protein structures with a chosen point group symmetry. In this master's thesis, we have focused on the design of C10 symmetric cyclic homo-oligomers using RFdiffusion and ProteinMPNN. The design of decamers still remains a challenging task mainly due to small differences in interfaces between C10 and C9 oligomers. To date, the only successfully designed and experimentally confirmed decameric protein has been described by Huddy and colleagues. With the use of the aforementioned programs, we have designed three rounds of de novo proteins for which the bioinformatics tools have predicted decameric structure. The algorithms for protein structure prediction AlphaFold2 and AlphaFold3 have enabled us to obtain in silico parameters for evaluating the designs as well as the additionally calculated physical parameters with Rosetta. Based on the obtained results we selected those designs with the most favorable characteristics for different parameters for experimental evaluation. The aim of the experimental work was to determine whether the designed proteins express well in bacterial cells and if they assemble into decamers. For the selected designs we therefore ordered synthetic genes and expressed them in bacterial cells. After nickel-affinity chromatography purification, we looked into the formation of decamer structures using size-exclusion chromatography (SEC). The most promising proteins were further analyzed using mass photometry. The results provide an insight into the current abilities for the design of higher-order symmetric homo-oligomers. We have successfully designed a few proteins with promising characteristics, including those which also formed decameric structures, establishing a foundation for further research in the field of de novo oligomer design.
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