Predicted protein sequence database for metaproteomic analysis of microbial CO2 bioconversion

This dataset contains the combined predicted protein sequences (comb.faa) from five metagenome-assembled genomes (MAGs) reconstructed from a H₂/CO₂-fed membrane biofilm reactor. The protein sequence database was used for protein identification and quantitative metaproteomic analysis in the study entitled "Natural Microbial Partnerships Enable Long-Term CO2 Bioconversion into Valuable Chemicals." The database includes the predicted protein sequences of two focal MAGs, S1C756 (Acetobacterium sp.) and S1C2854 (Oscillibacter sp.), together with three additional MAGs. The original protein identifiers are retained to facilitate comparison with the reported metaproteomic results. The associated sequencing project is available under NCBI BioProject PRJNA1522739. This dataset contains predicted protein sequences rather than raw mass spectrometry data.