Further this demonstrates the possibility of rapid screening as an early stage decision making in process development for waste streams. The very small set of one-step reactions can be analysed manually. Figure shows the described results for the sets of randomly chosen test molecules. The standard deviation for cut-off two is 0.6% and the standard deviation for cut- We test the connection from CST over 56 of the strategic molecules (identified by a contamination rate of 1×10 -4 ) to 115 pharmaceuticals. We allow up to three steps between feedstock components and strategic molecules and strategic molecules to end products. We find, that all feedstock components can connect to the 56 strategic molecules. We also find that many of them have more than one possible path. Both are indicated for selected strategic molecules by the two green bars with stripes in Figure . We also show that most of the 56 strategic molecules are also connected to many different pharmaceutical end products with multiple possible synthesis paths. This is indicated by light and dark grey bars in Figure for selected strategic molecules. The experiment 2 demonstrates the suitability of strategic molecules as connections of different regions of chemistry in reaction networks. Further, it indicates a method of generating a smaller subset of most suitable molecules to be investigated for novel process development. The metrics applied on the RPDF search over the strategic molecules compares the strategic molecules with each other. Once again, the large space of organic chemistry is reduced to few options, making manual evaluation possible. The experiment 3 demonstrates the use of the RPDF screening over strategic molecules in comparison to DF searches. We consider a scenario where chemical space is screened for pathways from one specific component to a few end products. For the RPDF search, we screen from pinene, a constituent of CST, to 56 strategic molecules in a cut-off value of two and three. We then search for paths from the strategic molecules to ten selected pharmaceuticals in cut-off of range three. For the DF search, we screen up to a cut-off value of five.