Sparrow (Synthesis Planning and Rewards-based Route Optimization Workflow) is an algorithm developed by researchers at the Massachusetts Institute of Technology to streamline drug discovery. The algorithmic framework selects the best subset of molecular candidates that meet the user's criteria and minimizes costs associated with compound synthesis.[1] It is thought to have potential applications in various fields of chemical research, including the invention of new agrochemicals or specialized materials for organic electronics.[2]
References
edit- ^ "An algorithmic framework for synthetic cost-aware decision making in molecular design". arxiv.org. Retrieved 2024-07-20.
- ^ "A smarter way to streamline drug discovery". MIT News | Massachusetts Institute of Technology. 2024-06-17. Retrieved 2024-07-20.
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