However, the fingerprints proposed in this work (Metal-FP1, Metal-FP2, and Metal-FP3) lack orbital descriptors and electronic density data which has been important in the complete description of metal-based compounds. In this regard, the most complete proposed fingerprint in this work, the Metal-FP3, does not include descriptors related to the tridimensionality and reactivity of metal-based compounds, which are important parameters to consider outside of medicinal chemistry areas (e.g., drug design), for example on inorganic chemistry or materials design areas. In this regard, The International Union of Pure and Applied Chemistry (IUPAC) in 2025 had adapted their International Chemical Identifier (InChI) to inorganic compounds to treat to codify all these metal-based features in a unidimensional representation, which is one of the most important challenges for the next steps in global chemoinformatics area. An additional perspective of this work is the scarce data availability of metal-based compounds. In this regard, we would motivate readers and editors to promote the creation of most representative unidimensional metal-based representations, which allows us to create new open datasets oriented to condense information like bioactivities, toxicity, conductivity, reactivity, or any other important properties related with metal-based compounds, and parallelly the creation of large and ultra-large metal-based chemical libraries oriented to be used on virtual screening campaigns. Here we introduce hybrid fingerprints to encode metal-based compounds' chemical structure, atom features, and connectivity, which would be applied in future virtual screening, chemical space visualizations, and clustering approaches for small and large datasets.