Draft:Sparrow (algorithm)

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Last edited by Headbomb (talk | contribs) 2 days ago. (Update)

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Sparrow (Synthesis Planning and Rewards-based Route Optimization Workflow) is an algorithm designed to streamline drug discovery.^[1] It was developed by researchers at the Massachusetts Institute of Technology. The algorithmic framework selects the best subset of molecular candidates that meet the user's criteria and minimizes costs associated with compound synthesis.^[2] 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.^[3]

References

^ "MIT's SPARROW Redefines Drug Discovery With Smart Synthesis". SciTechDaily. 2024-08-12. Retrieved 2025-01-17.
^ Fromer, Jenna C.; Coley, Connor W. (2023). "An algorithmic framework for synthetic cost-aware decision making in molecular design". arXiv:2311.02187 [q-bio.QM].
^ "A smarter way to streamline drug discovery". MIT News | Massachusetts Institute of Technology. 2024-06-17. Retrieved 2024-07-20.

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[1] "MIT's SPARROW Redefines Drug Discovery With Smart Synthesis". SciTechDaily. 2024-08-12. Retrieved 2025-01-17.

[2] Fromer, Jenna C.; Coley, Connor W. (2023). "An algorithmic framework for synthetic cost-aware decision making in molecular design". arXiv:2311.02187 [q-bio.QM].

[3] "A smarter way to streamline drug discovery". MIT News | Massachusetts Institute of Technology. 2024-06-17. Retrieved 2024-07-20.

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