Computer-designed repurposing of chemical wastes into drugs

As the chemical industry continues to produce considerable quantities of waste chemicals(1,2), it is essential to devise 'circular chemistry'(3-8) schemes to productively back-convert at least a portion of these unwanted materials into useful products. Despite substantial progress in the degradation of some classes of harmful chemicals(9), work on 'closing the circle'-transforming waste substrates into valuable products-remains fragmented and focused on well known areas(10-15). Comprehensive analyses of which valuable products are synthesizable from diverse chemical wastes are difficult because even small sets of waste substrates can, within few steps, generate millions of putative products, each synthesizable by multiple routes forming densely connected networks. Tracing all such syntheses and selecting those that also meet criteria of process and 'green' chemistries is, arguably, beyond the cognition of human chemists. Here we show how computers equipped with broad synthetic knowledge can help address this challenge. Using the forward-synthesis Allchemy platform(16), we generate giant synthetic networks emanating from approximately 200 waste chemicals recycled on commercial scales, retrieve from these networks tens of thousands of routes leading to approximately 300 important drugs and agrochemicals, and algorithmically rank these syntheses according to the accepted metrics of sustainable chemistry(17-19). Several of these routes we validate by experiment, including an industrially realistic demonstration on a 'pharmacy on demand' flow-chemistry platform(20). Wide adoption of computerized waste-to-valuable algorithms can accelerate productive reuse of chemicals that would otherwise incur storage or disposal costs, or even pose environmental hazards.

Automated summary

As the chemical industry produces a significant amount of waste chemicals, it is crucial to find ways to convert these waste materials into useful products through circular chemistry. Comprehensive analysis of valuable products from diverse chemical wastes is challenging, but computer algorithms equipped with synthetic knowledge can help solve this problem. Adoption of waste-to-valuable algorithms can accelerate the reuse of chemicals and reduce storage and disposal costs.