Plasmid-encoded genes facilitate the spread of antimicrobial resistance (AMR) though horizontal gene transfer (HGT). HGT driven by plasmids enables the diversification of pathogens into new anatomical and environmental niches, implying that plasmid-bourne genes can cooperate well with chromosomal genes. It is hypothesised that such mobile genes are functionally different to chromosomal ones due to this ability to encode non-essential functions like AMR and traverse distinct host cells. The effect of plasmid-related gene gain on protein-protein interaction network topology is an important question in this area. Moreover, the extent to which these chromosomally- and plasmid-encoded proteins interact with proteins from their own groups compared to the levels with the other group remains unclear. Here, we examined the incidence and protein-protein interactions of all known plasmid-linked genes (n=9,172) across representative specimens from all bacteria (n=4,419) using all known unique plasmids. We found that such plasmid-related genes constitute on average of 10.5% of the total number of genes per bacterial sample, and that plasmid genes preferentially associated with different species such that provide moderate taxonomical power. Surprisingly, plasmid-related proteins had both more direct and indirect protein-protein interactions compared to chromosomal proteins, countering the hypothesis that genes with higher mobility rates should have fewer protein-level interactions. Nonetheless, topological analysis and investigation of the protein-protein interaction networks’ connectivity and change in the number of independent components demonstrated that the plasmid-related proteins had limited overall impact in most bacterial samples (>94%). This paper assembled extensive data on plasmid-related proteins, their interactions and associations with diverse bacterial specimens that is available for the community to investigate in more detail.Significance as a bioresource to the communityThis paper outlines the compilation and analysis of bacterial plasmid-encoded genes and protein-level interactions that will be a useful resource for the community. All input data, output data, code and high-resolution figures is available on FigShare and Github. We extracted protein-protein interaction data for all available valid bacterial samples (n=4,419) to differentiate plasmid-related genes and PPIs from chromosomal ones. We compiled all known unique plasmids (n=18,628) to identify 9,172 unique plasmid-related genes using gene name information, which may require refinement is a useful resource for the community because we found that these had some power to resolve known taxonomic differences, suggesting host-gene co-evolution. The co-varying plasmid-related genes and samples are available for more specific testing. We used this data to identify protein-protein interactions involving plasmid proteins per sample, and showed that plasmid-related proteins tended here to have more protein-protein interactions than chromosomal ones. However, this varied across samples, and thus data allows the community to explore features of selected bacteria and/or genes. We identified a small number of samples (n=158) where the plasmid-related proteins had major effects on protein-protein interaction network structure, which is possible to explore more through this bioresource.