The rapid rise in antibiotic-resistance of microbial pathogens has brought the attention to new, heterologous approaches to better exploit the vast repertoire of biosynthetic gene clusters in Actinobacteria genomes and the large number of potentially novel bioactive compounds encoded in these. To enable and optimize production of these compounds, a better understanding of -among others- the interplay between primary and secondary metabolism in the selected suitable heterologous production hosts is needed, in our case the model Streptomycete Streptomyces coelicolor. In this study, a genome-scale metabolic model is reconstructed based on several previous metabolic models and refined by including experimental data, in particular proteome data. This new consensus model provides not only a valuable and more accurate mathematical representation to predict steady-state flux distributions in this strain, but also provides a new framework for interpretation and integration of different 'omics' data by the Streptomyces research community for improved strain-specific systems-scale knowledge to be used in targeted strain development, e.g. for efficient new antibiotics production.