TY - JOUR
T1 - Phase Identification and Discovery of an Elusive Polymorph of Drug-Polymer Inclusion Complex Using Automated 3D Electron Diffraction
AU - Lightowler, Molly
AU - Li, Shuting
AU - Ou, Xiao
AU - Cho, Jungyoun
AU - Liu, Binbin
AU - Li, Ao
AU - Hofer, Gerhard
AU - Xu, Jiaoyan
AU - Yang, Taimin
AU - Zou, Xiaodong
AU - Lu, Ming
AU - Xu, Hongyi
N1 - Publisher Copyright:
© 2024 The Authors. Angewandte Chemie International Edition published by Wiley-VCH GmbH.
PY - 2024/4/15
Y1 - 2024/4/15
N2 - 3D electron diffraction (3D ED) has shown great potential in crystal structure determination in materials, small organic molecules, and macromolecules. In this work, an automated, low-dose and low-bias 3D ED protocol has been implemented to identify six phases from a multiple-phase melt-crystallisation product of an active pharmaceutical ingredient, griseofulvin (GSF). Batch data collection under low-dose conditions using a widely available commercial software was combined with automated data analysis to collect and process over 230 datasets in three days. Accurate unit cell parameters obtained from 3D ED data allowed direct phase identification of GSF Forms III, I and the known GSF inclusion complex (IC) with polyethylene glycol (PEG) (GSF-PEG IC-I), as well as three minor phases, namely GSF Forms II, V and an elusive new phase, GSF-PEG IC-II. Their structures were then directly determined by 3D ED. Furthermore, we reveal how the stabilities of the two GSF-PEG IC polymorphs are closely related to their crystal structures. These results demonstrate the power of automated 3D ED for accurate phase identification and direct structure determination of complex, beam-sensitive crystallisation products, which is significant for drug development where solid form screening is crucial for the overall efficacy of the drug product.
AB - 3D electron diffraction (3D ED) has shown great potential in crystal structure determination in materials, small organic molecules, and macromolecules. In this work, an automated, low-dose and low-bias 3D ED protocol has been implemented to identify six phases from a multiple-phase melt-crystallisation product of an active pharmaceutical ingredient, griseofulvin (GSF). Batch data collection under low-dose conditions using a widely available commercial software was combined with automated data analysis to collect and process over 230 datasets in three days. Accurate unit cell parameters obtained from 3D ED data allowed direct phase identification of GSF Forms III, I and the known GSF inclusion complex (IC) with polyethylene glycol (PEG) (GSF-PEG IC-I), as well as three minor phases, namely GSF Forms II, V and an elusive new phase, GSF-PEG IC-II. Their structures were then directly determined by 3D ED. Furthermore, we reveal how the stabilities of the two GSF-PEG IC polymorphs are closely related to their crystal structures. These results demonstrate the power of automated 3D ED for accurate phase identification and direct structure determination of complex, beam-sensitive crystallisation products, which is significant for drug development where solid form screening is crucial for the overall efficacy of the drug product.
KW - 3D Electron Diffraction (MicroED)
KW - Automation
KW - Phase analysis
KW - Polymorphism
KW - Structural analysis
UR - http://www.scopus.com/inward/record.url?scp=85186891241&partnerID=8YFLogxK
U2 - 10.1002/anie.202317695
DO - 10.1002/anie.202317695
M3 - Article
C2 - 38380831
AN - SCOPUS:85186891241
SN - 1433-7851
VL - 63
JO - Angewandte Chemie - International Edition
JF - Angewandte Chemie - International Edition
IS - 16
M1 - e202317695
ER -