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High-throughput discovery of organic cages and catenanes using computational screening fused with robotic synthesis

Supramolecular synthesis is a powerful strategy for assembling complex molecules, but to do this by targeted design is challenging. This is because multicomponent assembly reactions have the potential to form a wide variety of products. High-throughput screening can explore a broad synthetic space,...

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Autores principales: Greenaway, R. L., Santolini, V., Bennison, M. J., Alston, B. M., Pugh, C. J., Little, M. A., Miklitz, M., Eden-Rump, E. G. B., Clowes, R., Shakil, A., Cuthbertson, H. J., Armstrong, H., Briggs, M. E., Jelfs, K. E., Cooper, A. I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6054661/
https://www.ncbi.nlm.nih.gov/pubmed/30030426
http://dx.doi.org/10.1038/s41467-018-05271-9
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author Greenaway, R. L.
Santolini, V.
Bennison, M. J.
Alston, B. M.
Pugh, C. J.
Little, M. A.
Miklitz, M.
Eden-Rump, E. G. B.
Clowes, R.
Shakil, A.
Cuthbertson, H. J.
Armstrong, H.
Briggs, M. E.
Jelfs, K. E.
Cooper, A. I.
author_facet Greenaway, R. L.
Santolini, V.
Bennison, M. J.
Alston, B. M.
Pugh, C. J.
Little, M. A.
Miklitz, M.
Eden-Rump, E. G. B.
Clowes, R.
Shakil, A.
Cuthbertson, H. J.
Armstrong, H.
Briggs, M. E.
Jelfs, K. E.
Cooper, A. I.
author_sort Greenaway, R. L.
collection PubMed
description Supramolecular synthesis is a powerful strategy for assembling complex molecules, but to do this by targeted design is challenging. This is because multicomponent assembly reactions have the potential to form a wide variety of products. High-throughput screening can explore a broad synthetic space, but this is inefficient and inelegant when applied blindly. Here we fuse computation with robotic synthesis to create a hybrid discovery workflow for discovering new organic cage molecules, and by extension, other supramolecular systems. A total of 78 precursor combinations were investigated by computation and experiment, leading to 33 cages that were formed cleanly in one-pot syntheses. Comparison of calculations with experimental outcomes across this broad library shows that computation has the power to focus experiments, for example by identifying linkers that are less likely to be reliable for cage formation. Screening also led to the unplanned discovery of a new cage topology—doubly bridged, triply interlocked cage catenanes.
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spelling pubmed-60546612018-07-26 High-throughput discovery of organic cages and catenanes using computational screening fused with robotic synthesis Greenaway, R. L. Santolini, V. Bennison, M. J. Alston, B. M. Pugh, C. J. Little, M. A. Miklitz, M. Eden-Rump, E. G. B. Clowes, R. Shakil, A. Cuthbertson, H. J. Armstrong, H. Briggs, M. E. Jelfs, K. E. Cooper, A. I. Nat Commun Article Supramolecular synthesis is a powerful strategy for assembling complex molecules, but to do this by targeted design is challenging. This is because multicomponent assembly reactions have the potential to form a wide variety of products. High-throughput screening can explore a broad synthetic space, but this is inefficient and inelegant when applied blindly. Here we fuse computation with robotic synthesis to create a hybrid discovery workflow for discovering new organic cage molecules, and by extension, other supramolecular systems. A total of 78 precursor combinations were investigated by computation and experiment, leading to 33 cages that were formed cleanly in one-pot syntheses. Comparison of calculations with experimental outcomes across this broad library shows that computation has the power to focus experiments, for example by identifying linkers that are less likely to be reliable for cage formation. Screening also led to the unplanned discovery of a new cage topology—doubly bridged, triply interlocked cage catenanes. Nature Publishing Group UK 2018-07-20 /pmc/articles/PMC6054661/ /pubmed/30030426 http://dx.doi.org/10.1038/s41467-018-05271-9 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Greenaway, R. L.
Santolini, V.
Bennison, M. J.
Alston, B. M.
Pugh, C. J.
Little, M. A.
Miklitz, M.
Eden-Rump, E. G. B.
Clowes, R.
Shakil, A.
Cuthbertson, H. J.
Armstrong, H.
Briggs, M. E.
Jelfs, K. E.
Cooper, A. I.
High-throughput discovery of organic cages and catenanes using computational screening fused with robotic synthesis
title High-throughput discovery of organic cages and catenanes using computational screening fused with robotic synthesis
title_full High-throughput discovery of organic cages and catenanes using computational screening fused with robotic synthesis
title_fullStr High-throughput discovery of organic cages and catenanes using computational screening fused with robotic synthesis
title_full_unstemmed High-throughput discovery of organic cages and catenanes using computational screening fused with robotic synthesis
title_short High-throughput discovery of organic cages and catenanes using computational screening fused with robotic synthesis
title_sort high-throughput discovery of organic cages and catenanes using computational screening fused with robotic synthesis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6054661/
https://www.ncbi.nlm.nih.gov/pubmed/30030426
http://dx.doi.org/10.1038/s41467-018-05271-9
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