Suchergebnisse

Guidi, M.; Moon, S.-Y.; Anghileri, L.; Cambié, D.; Seeberger, P. H.; Gilmore, K.: Combining radial and continuous flow synthesis to optimize and scale-up the production of medicines. Reaction Chemistry & Engineering 6 (2), S. 220 - 224 (2021)

Greis, K.; Mucha, E.; Lettow, M.; Thomas, D.; Kirschbaum, C.; Moon, S.-Y.; Pardo-Vargas, A.; Helden, G. v.; Meijer, G.; Gilmore, K. et al.; Seeberger, P. H.; Pagel, K.: The impact of leaving group anomericity on the structure of glycosyl cations of protected galactosides. ChemPhysChem 21 (17), S. 1905 - 1907 (2020)

Marianski, M.; Mucha, E.; Greis, K.; Moon, S.-Y.; Pardo-Vargas, A.; Kirschbaum, C.; Thomas, D.; Meijer, G.; von Helden, G.; Gilmore, K. et al.; Seeberger, P. H.; Pagel, K.: Remote participation during glycosylation reactions of galactose building blocks: direct evidence from cryogenic vibrational spectroscopy. Angewandte Chemie, International Edition 59 (15), S. 6166 - 6171 (2020)

Moon, S.-Y.; Chatterjee, S.; Seeberger, P. H.; Gilmore, K.: Predicting glycosylation stereoselectivity using machine learning. Chemical Science (2020)

Chatterjee, S.; Moon, S.; Hentschel, F.; Gilmore, K.; Seeberger, P. H.: An empirical understanding of the glycosylation reaction. Journal of the American Chemical Society 140 (38), S. 11942 - 11953 (2018)

Moon, S.-Y.; Gilmore, K.; Seeberger, P. H.: The controlled synthesis of carbohydrates. In: Science of synthesis: flow chemistry in organic systems, S. 399 - 428 (Hg. Jamison, T.; Koch, G.). Georg Thieme Verlag KG, Stuttgart (2018)

Moon, S.-Y.: Using automation, theory and machine learning to gain mechanistic understanding of chemical glycosylation. Dissertation, XVIII, 167 S., Freie Universität, Berlin (2020)

Chatterjee, S.; Moon, S.-Y.; Rowlands, A.; Chin, F.; Seeberger, P. H.; Merbouh, N.; Gilmore, K.: Click, Zoom, Explore: Interactive 3D (i-3D) Figures in Standard Manuscript PDFs. ChemRxiv (2019)