While one aspect of biocompatibility is designing safe MOFs by observing trends in the chemical features of building blocks, another aspect is choosing the safest candidate given a choice. Here, guided by the overarching principles of 'safety-by-design', we explored the chemical landscape of linker characteristics to make rational decisions for the choice of optimum MOFs. To visualize this landscape, we utilized the t-Distributed Stochastic Neighborhood Embedding (t-SNE) approach to project the 110 features onto a twodimensional map. We chose to visualize the chemical landscape of experimentally reported Ag-MOF linkers (Figure ), Ca-MOF linkers (Figure ), and Zr-MOF linkers (Figure )as they either represent the largest subsets of the experimentally reported MOFs with a safe metallic center or have been gaining traction as potential drug delivery systems. Clusters represent linkers with high chemical similarity and are colorcoded based on their predicted toxicity. For Ag-MOF linkers, clusters labeled 1-3 are potentially safer choices due to their low chemical similarity with potentially fatal molecules. Using these linkers or designing similar ones within this chemical space can enhance biocompatibility. Linkers in clusters labeled 4-9 are also options for drug delivery systems, with varying safety profileshowever, caution is advised. Clusters 17-19 and 23 are generally unsuitable as all linkers in these spaces may be fatal. The situation is complex in clusters 24 and 25, where safe linkers share high similarity with harmful ones. This poses a safety-by-design challenge. These observations are based on experimental data, which may not represent the complete chemical landscape.