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Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and materials science. To explore these possibilities, we organized a hackathon. This article chronicles the projects built as part of this hackathon. Participants employed LLMs for various applications, including predicting properties of molecules and materials, designing novel interfaces for tools, extracting knowledge from unstructured data, and developing new educational applications. The diverse topics and the fact that working prototypes could be generated in less than two days highlight that LLMs will profoundly impact the future of our fields. The rich collection of ideas and projects also indicates that the applications of LLMs are not limited to materials science and chemistry but offer potential benefits to a wide range of scientific disciplines.more » « less
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Abstract We uncovered and reconstituted a concise biosynthetic pathway of the strained dipeptide (+)‐azonazine A from marine‐derived
Aspergillus insulicola . Formation of the hexacyclic benzofuranoindoline ring system from cyclo‐(l ‐Trp‐N ‐methyl‐l ‐Tyr) is catalyzed by a P450 enzyme through an oxidative cyclization. Supplementing the producing strain with various indole‐substituted tryptophan derivatives resulted in the generation of a series of azonazine A analogs. -
more » « less
Abstract We uncovered and reconstituted a concise biosynthetic pathway of the strained dipeptide (+)‐azonazine A from marine‐derived
Aspergillus insulicola . Formation of the hexacyclic benzofuranoindoline ring system from cyclo‐(l ‐Trp‐N ‐methyl‐l ‐Tyr) is catalyzed by a P450 enzyme through an oxidative cyclization. Supplementing the producing strain with various indole‐substituted tryptophan derivatives resulted in the generation of a series of azonazine A analogs.
