The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Organic synthesis in a modular robotic system driven by a chemical programming language
Open accessAbstract
Clear directions for a robotic platform: The chemistry literature contains more than a century's worth of instructions for making molecules, all written by and for humans. Steiner et al. developed an autonomous compiler and robotic laboratory platform to synthesize organic compounds on the basis of standardized methods descriptions (see the Perspective by Milo). The platform comprises conventional equipment such as round-bottom flasks, separatory funnels, and a rotary evaporator to maximize its compatibility with extant literature. The authors showcase the system with short syntheses of three common pharmaceuticals that proceeded comparably to manual synthesis. Science , this issue p. eaav2211 ; see also p. 122
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Cites
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Baker, M. (2016) · Nature · doi:10.1038/533452a · Cited by 4,209
The Hitchhiker’s Guide to Flow Chemistry
Plutschack, M. B., Pieber, B., Gilmore, K., & Seeberger, P. H. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00183 · Cited by 1,995
Brown, D. G., & Boström, J. (2016) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5b01409 · Cited by 1,964
On-demand continuous-flow production of pharmaceuticals in a compact, reconfigurable system
Adamo, A., Beingessner, R. L., Behnam, M., Chen, J., Jamison, T. F., Jensen, K. F., Monbaliu, J.-C. M., Myerson, A. S., Revalor, E. M., Snead, D. R., et al. (2016) · Science · doi:10.1126/science.aaf1337 · Cited by 941
Automated Solid-Phase Synthesis of Oligosaccharides
Plante, O. J., Palmacci, E. R., & Seeberger, P. H. (2001) · Science · doi:10.1126/science.1057324 · Cited by 933
Merrifield, R. B. (1965) · Science · doi:10.1126/science.150.3693.178 · Cited by 540
Synthesis of many different types of organic small molecules using one automated process
Li, J., Ballmer, S. G., Gillis, E. P., Fujii, S., Schmidt, M. J., Palazzolo, A. M. E., Lehmann, J. W., Morehouse, G. F., & Burke, M. D. (2015) · Science · doi:10.1126/science.aaa5414 · Cited by 539
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Bédard, A.-C., Adamo, A., Aroh, K. C., Russell, M. G., Bedermann, A. A., Torosian, J., Yue, B., Jensen, K. F., & Jamison, T. F. (2018) · Science · doi:10.1126/science.aat0650 · Cited by 482
Phoenics: A Bayesian Optimizer for Chemistry
Häse, F., Roch, L. M., Kreisbeck, C., & Aspuru-Guzik, A. (2018) · ACS Central Science · doi:10.1021/acscentsci.8b00307 · Cited by 379
Pathway Databases: A Case Study in Computational Symbolic Theories
Karp, P. D. (2001) · Science · doi:10.1126/science.1064621 · Cited by 230
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Burger, B., Maffettone, P. M., Gusev, V. V., Aitchison, C. M., Bai, Y., Wang, X., Li, X., Alston, B. M., Li, B., Clowes, R., et al. (2020) · Nature · doi:10.1038/s41586-020-2442-2 · Cited by 1,516
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Coley, C. W., Thomas, D. A., Lummiss, J. A. M., Jaworski, J. N., Breen, C. P., Schultz, V., Hart, T., Fishman, J. S., Rogers, L., Gao, H., et al. (2019) · Science · doi:10.1126/science.aax1566 · Cited by 1,052
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Schneider, P., Walters, W. P., Plowright, A. T., Sieroka, N., Listgarten, J., Goodnow, R. A., Fisher, J., Jansen, J. M., Duca, J. S., Rush, T. S., et al. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-019-0050-3 · Cited by 894
Metadata
- Authors
- Steiner, S., Wolf, J., Glatzel, S., Andreou, A., Granda, J. M., Keenan, G., Hinkley, T., Aragon-Camarasa, G., Kitson, P. J., Angelone, D., & Cronin, L.
- Venue
- Science
- Published
- 2019-01-11
- Volume
- 363
- Issue
- 6423
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2902762889
- Cited by
- 622
- References
- 17
- FWCI
- 18.12
- Type
- journal article
- Language
- en
- Open access
- green
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- Steiner, S., Wolf, J., Glatzel, S., Andreou, A., Granda, J. M., Keenan, G., Hinkley, T., Aragon-Camarasa, G., Kitson, P. J., Angelone, D., & Cronin, L. (2019). Organic synthesis in a modular robotic system driven by a chemical programming language. Science. https://doi.org/10.1126/science.aav2211
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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